data analyst using python resume

data analyst using python resume

Created HBase tables to store various data formats of data coming from different portfolios. A Business Data Analyst translates numbers into a written Data, normally the sales, market research, cost and the logistics of any business are measured in numerical values, hence it is the job of a Data Analyst to convert these figures into data and help the management in making better decisions. Developed the required XML Schema documents and implemented the framework for parsing XML documents. Used SPSS and MiniTab software to track and analyze data. Analyzed performance test requirements and developed test plans and have done debugging to understand test objective requirements. Followed coding and documentation standards. Below is a sample resume for a data analyst made using our resume builder. Tips and examples of how to put skills and achievements on a data analyst resume. A candidate has many dilemmas, These dilemmas are equally hard for Data Scientists looking for a change or even for aspiring Data Scientist. Developed and executed User Acceptance Testing portion of test plan. Developed Hive queries for analysis, and exported the result set from Hive to MySQL using Sqoop after processing the data. The majority of companies require a resume in order to apply to any of their open jobs, and a resume is often the first layer of the process in getting past the “Gatekeeper” — the recruiter or hiring manager. Developed the project in Linux environment. Variable selection was done by making use of R-square and VIF values. Luckily, that’s not entirely true in data science. No coding experience required. Experienced in installing, configuring, modifying, testing and deploying applications with Apache. Supported MapReduce Programs running on the cluster. Worked on predictive analytics use-cases using Python language. Developed and designed automation framework using Python and Shell scripting. Familiar with JSON based REST Web services and Amazon Web Services(AWS). Worked on AJAX framework to transform Datasets and Data tables into HTTP-serializable JSON strings. Environment: R 3.0, Erwin 9.5, Tableau 8.0, MDM, QlikView, ML Lib, PL/SQL, HDFS, Teradata 14.1, JSON, HADOOP (HDFS), MapReduce, PIG, Spark, R Studio, MAHOUT, JAVA, HIVE, AWS. Built the model in R and model deployment using Python. Be as specific as possible when listing what skills and tools you use. We’ve analyzed countless applications in order to develop a data analyst resume that will land you more interviews. Involved in Unit testing and Integration testing. Participated in requirement gathering and worked closely with the architect in designing and modeling. Privacy policy A highly immersive Data Science program involving Data Manipulation & Visualization, Web Scraping, Machine Learning, Python programming, SQL, GIT, Unix Commands, NoSQL, MongoDB, Hadoop. Implemented machine learning model (logistic regression, XGboost) with Python Scikit- learn. Used python libraries like Beautiful Soap, NumPy and SQLAlchemy. Applied Lean Six Sigma process improvement in plant and developed Capacity Calculation systems using purchase order tracking system and improvement inbound efficiency by 23.56%. Learn how to analyze data using Python. KT with the client to understand their various Data Management systems and understanding the data. Worked on Django API's for accessing the database. Performed Data Enrichment jobs to deal missing value, to normalize data, and to select features. Data elements validation using exploratory data analysis (univariate, bivariate, multivariate analysis). Developed various algorithms for generating several data patterns. Built an internal visualization platform for the clients to view historic data, make comparisons between various issuers, analytics for different bonds and market. Effectively communicated with the external vendors to resolve queries. Created and published multiple dashboards and reports using Tableau server. Finally, you’ll learn to use your data skills to tell a story with data. More than 50 million people use GitHub to discover, fork, and contribute to over 100 million projects. Build Your Own Now. Used Ajax and JQuery for transmitting JSON data objects between frontend and controllers. You will learn how to prepare data for analysis, perform simple statistical analysis, create meaningful data visualizations, predict future trends from data, and more! Sr. Data Analyst Resume. Involved in peer code reviews and performed integration testing of the modules. How to describe your experience on a resume for a data analyst to get any job you want. Experience object oriented programming (OOP) concepts using Python, C++ and PHP. At the same time, it has to showcase your qualifications and experience in a way that will compel the employer to call you in for the coveted data analyst interview. Performing QA on the data extracted, transformed and exported to excel. Good Experience with Django, a high - level Python Web framework. Experience in using collections in Python for manipulating and looping through different user defined objects. It’s hot. Expertise in Service Oriented Architecture (SOA) and its related technologies like Web Services, BPEL, WSDLs, SOAP1.1, XML, XSD, XSLT etc. Deployed Machine Learning (Logistic Regression and PCA) to predict customer churn. Extensive experience in Text Analytics, generating data visualizations using R, Python and creating dashboards using tools like Tableau. Used Agile Methodology and SCRUM Process. It requires technical and fundamental competencies, varied skill sets and the right mindset to make the analysis relevant to everyone on-board the organization. Analyzing various logs that are been generating and predicting/forecasting next occurrence of event with various Python libraries. Evaluating Thought Leadership in Insurance, University of Illinois at Urbana-Champaign Oct. 2017 - Dec. 2017 Helped the client in Accessing Thought Leadership Reports of their Competitors in the Insurance industry. Designed and developed the UI of the website using HTML, XHTML, AJAX, CSS and JavaScript. Completed market analysis, resulting in a 21% increase in sales. According to Glassdoor, “Data Scientist” tops the list of the best jobs in 2020, with a median base salary of $110,000.. It’s not just that they pay well, data scientist positions are in high demand too - 6.5 times as many data scientist positions were posted on LinkedIn in 2018 than in 2012. How to write a data analyst resume that will land you more interviews. If the note attitude is zero, the customer is more satisfied while as the number increases, satisfaction level decreases. Developed views and templates with Python and Django's view controller and templating language to create a user-friendly website interface. 2,775 Data Analyst Python jobs available on Indeed.com. Used packages like dplyr, tidyr & ggplot2 in R Studio for data visualization and generated scatter plot and high low graph to identify relation between different variables. Highly creative, innovative, committed, intellectually curious, business savvy with good communication and interpersonal skills. Performed univariate, bivariate and multivariate analysis of approx. MA IN COMPUTER SCIENCE. Worked on Clustering and factor analysis for classification of data using machine learning algorithms. Chick-Fil-A Data Warehousing/Analysis Project (Nov.-Dec. 2016): Received and imported data from Chick-Fil-A franchise into MS SQL Server, scrubbed data, created fact and dimension tables. Experience and Technical proficiency in Designing, Data Modeling Online Applications, Solution Lead for Architecting Data Warehouse/Business Intelligence Applications. Written MapReduce code to process and parsing the data from various sources and storing parsed data into HBase and Hive using HBase - Hive Integration. Good Examples of Achievements for a Data Analyst Resume. Environment: Python, MySQL, Django, Flask, PHP, XML, HTML, DHTML, CSS, Angular JS, Java script, Windows, Linux. Worked on Java based connectivity of client requirement on JDBC connection. This contains detailed steps and stages of developing and delivering the project including timelines. Tasked with migrating the django database from MySQL to PostgreSQL. Developed entire frontend and backend modules using Python on Django Web Framework. CORE SKILLS. Tackled highly imbalanced Fraud dataset using undersampling with ensemble methods, oversampling and cost sensitive algorithms. Developed multiple MapReduce jobs in java for data cleaning and pre-processing. Developed monitoring and notification tools using Python. Optimized algorithm with stochastic gradient descent algorithm Fine-tuned the algorithm parameter with manual tuning and automated tuning such as Bayesian Optimization. Environment: Java, Servlets, JDBC, HTML, CSS, JavaScript, JSON, XML, PL/SQL, SQL, web services, JUNIT. Experience in using various packages in R and python-like ggplot2, caret, dplyr, Rweka, gmodels, twitter, NLP, Reshape2, rjson, plyr, pandas, NumPy, Seaborn, SciPy, Matplotlib, sci-kit-learn, Beautiful Soup. Manage, collaborate and coordinate the work of an offshore development team. Implemented web applications in Flask and spring frameworks following MVC architecture. Used the Django Framework to develop the application. Build My Resume Now Survey sentiment data. Worked extensively with data governance team to maintain data models, Metadata and dictionaries. Pick the right data analyst resume template. Used JIRA for bug tracking and issue tracking. Wrote the data validation SAS codes with the help of Univariate, Frequency procedures. Worked on rebranding the existing web pages to clients according to the type of deployment. Generated detailed report after validating the graphs using R, and adjusting the variables to fit the model. Understanding of Python best Practices (PEP-8). Recommended Udemy Course: (2018) Career Hacking: Resume, LinkedIn, Interviewing +More. Good knowledge of HadoopArchitecture and various components such as HDFS, Job Tracker, Task Tracker, Name Node, Data Node, Secondary Name Node, and MapReduce concepts. Summary : 10 years of experience as a Data Analyst skilled in recording, interpreting and analyzing data in a fast-paced environment.Proven knowledge in expanding existing data collection and data delivery platforms. Participated in requirement gathering and analysis phase of the project in documenting the business requirements by conducting workshops/meetings with various business users. Created Servlets and Beans to implement Business Logic. Maintained the versions using GIT and sending the release notes for each release. Gained expertise in Data Visualization using matplotlib, Bokeh and Plotly. These tips that we shared should help you build a solid business data analyst resume. Used data types like dictionaries, tuples and object oriented concepts based inheritance features for making complex algorithms of networks. As Architect delivered various complex OLAPdatabases/cubes, scorecards, dashboards and reports. Data Scientist with strong math background and 3+ years of experience using predictive modeling, data processing, and data mining algorithms to solve challenging business problems. Utilized Sqoop to ingest real-time data. | Cookie policy. Now before you wonder where this article is heading, let me give you the reason of writing this article. Creating meta-data and data dictionary for the future data use/ data refresh of the same client. Highly skilled in using visualization tools like Tableau, ggplot2, dash, flask for creating dashboards. Designed and created backend data access modules using PL/SQL stored procedures and Oracle. Flinders University, Adelaide, SA. Participated in features engineering such as feature creating, feature scaling and One-Hot encoding with Scikit-learn. Applied clustering algorithms i.e. So,… Involved in capturing the requirements for serial functional interface and other software requirements specification document. Created PHP/MySQL back-end for data entry from Flash. Good industry knowledge, analytical &problem-solving skills and ability to work well within a team as well as an individual. GitHub is where people build software. The model collects, merges daily data from market providers and applies different cleaning techniques to eliminate bad data points. Standardised the data with the help of PROC STANDARD. Leverage tools like R, PHP, Python, Hadoop & SQL to drive efficient analytics 19 Risk Data Sourcing Business Analyst Resume Examples & Samples. Built REST APIs to easily add new analytics or issuers into the model. Programmed a utility in Python that used multiple packages (scipy, numpy, pandas). Built models using techniques like Regression, Tree based ensemble methods, Time Series forecasting, KNN, Clustering and Isolation Forest methods. Python Developers are in charge of developing web application back end components and offering support to front end developers. Part of team implementing REST API’s in Python using micro-framework like Flask with SQLAlchemy in the backend for management of data center resources on which OpenStack would be deployed. Used Pandas API to put the data as time series and tabular format for east timestamp data manipulation and retrieval. Used Python to preprocess data and attempt to find insights. P.O.W.E.R Resume System: Proven system to get job interviews. Utilize SQL, Excel and several Marketing/Web Analytics tools (Google Analytics, Bing Ads, AdWords, AdSense, Criteo, Smartly, SurveyMonkey, and Mailchimp) in order to complete business & marketing analysis and assessment. Involved in Python open source community and passionate about deep reinforcement learning. Designed and developed Natural Language Processing models for sentiment analysis. 2.3 Uber Data Analysis in R. Check the complete implementation of Data Science Project with Source Code – Uber Data Analysis Project in R. This is a data visualization project with ggplot2 where we’ll use R and its libraries and analyze various parameters like trips by the hours in … Used Pandas, NumPy, seaborn, SciPy, Matplotlib, Scikit-learn, NLTK in Python for developing various machine learning algorithms and utilized machine learning algorithms such as linear regression, multivariate regression, naive Bayes, Random Forests, K-means, & KNN for data analysis. The model merges the daily data with the historical data and applies various quantitative algorithms to check the best fit for the day. Experience object oriented programming (OOP) concepts using Python, Django and Linux. On a typical day, a data analyst might use SQL skills to pull data from a company database, use programming skills to analyze that data, and then use communication skills to report their results to a larger audience. Advance your programming skills and refine your ability to work with messy, complex datasets. Environment: Python, Pyspark, Spark SQL, Plotly, Dash, Flask, Post Man Microsoft Azure, Autosys, Docker, Environment: ER Studio 9.7, MDM, GIT, Unix, Python (SciPy, NumPy, Pandas, StatsModel, Plotly), MySQL, Excel, Google Cloud Platform, Tableau 9.x, D3.js, SVM, Random Forests, Naïve Bayes Classifier, A/B experiment, Git 2.x, Agile/SCRUM., MLLib, SAS, regression, logistic regression, Hadoop, NoSQL, Teradata, OLTP, random forest, OLAP, HDFS, ODS, NLTK, SVM, JSON, XML, MapReduce. Highly efficient Data Scientist/Data Analyst with 6+ years of experience in Data Analysis, Machine Learning, Data mining with large data sets of Structured and Unstructured data, Data Acquisition, Data Validation, Predictive modeling, Data Visualization, Web Scraping. DATA ANALYST RESUME TEMPLATE (TEXT FORMAT) PROFILE. This course will take you from the basics of Python to exploring many different types of data. We all know the old catch-22 — you need a job to get job experience and job experience to get a job. Experience with risk analysis, root cause analysis, cluster analysis, correlation and optimization and K-means algorithm for clustering data into groups. Implemented Classification using supervised algorithms like LogisticRegression, Decisiontrees, KNN, NaiveBayes. Also used Bootstrap as a mechanism to manage and organize the html page layout. Extracted data from Twitter using Java and Twitter API. Worked on Business forecasting, segmentation analysis and Data mining and prepared management reports defining the problem; documenting the analysis and recommending courses of action to determine the best outcomes. Policy-related data, such as insurance lines, number of policies in the household, household tenure, premium, disposable income, and insured cars. Extensively used SAS procedures like IMPORT, EXPORT, SORT, FREQ, MEANS, FORMAT, APPEND, UNIVARIATE, DATASETS and REPORT. In this track, you’ll learn how to import, clean, manipulate, and visualize data—all integral skills for any aspiring data professional or researcher. Generated Python Django Forms to record data of online users, Used Python and Django creating graphics, XML processing, data exchange and business logic implementation. SVMs, Decision trees for classification of groups and analyzing most significant variables such as FTE, Waiting times of purchase orders and Capacities available and applied process improvement techniques. Complaints, such as number of open and closed complaints. Used analytics libraries Sci-Kit Learn, MLLIB and MLxtend. Experienced in WAMP (Windows, Apache, MYSQL, Python/PHP) and LAMP (Linux, Apache, MySQL, Python/PHP) Architecture. Built various graphs for business decision making using Pythonmatplotlib library. Developed Descriptive statistics and inferential statistics for Logistics optimization, Average hours per job, Value throughput data to at 95% confidence interval. Environment: SQL Server 2012, Jupyter, R 3.1.2, Python, MATLAB, SSRS, SSIS, SSAS, MongoDB, HBase, HDFS, Hive, Pig, Microsoft office, SQL Server Management Studio, Business Intelligence Development Studio, MS Access. Prepared Scripts in Python and Shell for Automation of administration tasks. Evaluated business requirements and prepared detailed specifications that follow project guidelines required to develop written programs. Create, activate and program in Anaconda environment. Built scalable and deployable machine learning models. Built and analyzed datasets using R, SAS, Matlab and Python (in decreasing order of usage). August 12, 2016 | By the Resume Genius Team | Reviewed by Mark Slack, CPRW. Data Scientist Resume Samples, Data Scientist Resume Examples & Ready-to-use Resume Templates to get you started! Responsible for generating and delivering the complete test status reports. data analyst resume, data scientist resume, data science resume, data scientist resume sample, data analyst resume entry level, data analyst resume sample. • Bulk importing of data from various data sources into Hadoop 2.5.2 and transform data in flexible ways by using Apache Nifi 0.2.1, Kafka 2.0.x, Flume 1.6.0 and Storm 0.9.x. Generating various capacity planning reports (graphical) using Python packages like Numpy, matplotlib. A data analyst uses Tableau, NOT a data scientist or machine learning engineer. Environment: Python, Pandas, Django, Flask, XML, HTML, DHTML, CSS, Angular JS, Java script, Windows. Save time by using our resume builder, or create your own with these professionally written writing tips. I had to assist the Flash developer send the correct data via query strings. Used Pandas as API to put the data as time series and tabular format for manipulation and retrieval of data. Involved in developing the UI pages using HTML, DHTML, CSS, JavaScript, JSON, jQuery, Ajax. Worked on various Statistical models like DOE, hypothesis testing, Survey testing and queuing theory. Extensive experience in Data Visualization including producing tables, graphs, listings using various procedures and tools such as Tableau. Good Knowledge in Proof of Concepts (PoC's), gap analysis and gathered necessary data for analysis from different sources, prepared data for data exploration using data munging. Used Teradata15 utilities such as FastExport, MLOAD for handling various tasks data migration/ETL from OLTP Source Systems to OLAP Target Systems. Skilled in performing data parsing, data manipulation and data preparation with methods including describe data contents, compute descriptive statistics of data, regex, split and combine, Remap, merge, subset, reindex, melt and reshape. Normalized the data that is loaded into the, Designed and Developed User Interface using front-end technologies like. Highly efficient Data Scientist/Data Analyst with 6+ years of experience in Data Analysis, Machine Learning, Data mining with large data sets of Structured and Unstructured data, Data Acquisition, Data Validation, Predictive modeling, Data Visualization, Web Scraping. Used python APIs for extracting daily data from multiple vendors. Mapping flow of trade cycle data from source to target and documenting the same. Built the model on Azure platform using Python and Spark for the model development and Dash by plotly for visualizations. Involved in preparation & design of technical documents like Bus Matrix Document, PPDM Model, and LDM & PDM. Communicated and presented default customers profiles along with reports using Python and Tableau, analytical results and strategic implications to senior management for strategic decision making Developed scripts in Python to automate the customer query addressable system using python which decreased the time for solving the query of the customer by 45% * Collaborated with other functional teams across the Risk and Non-Risk groups to use standard methodologies and ensure a positive customer experience throughout the customer journey. Make it one-page long, list only relevant information, save it as a PDF, and make good use of white space. The data that is obtained for predicting the churn is classified in the following categories. Description: Confidential is a digital media company bringing together video, display and mobile strategies to offer advertisers and publishers a robust full-service solution for today’s ever changing digital landscape. Implemented Data Exploration to analyze patterns and to select features using Python SciPy. Used Spark and SparkSQL for data integrations, manipulations.Worked on a POC for creating a docker image on azure to run the model. Worked on data that was a combination of unstructured and structured data from multiple sources and automated the cleaning using Python scripts. You can use personal data science projects to demonstrate your skills to prospective employers — especially for landing your first data science job. • Developed Map reduce program to extract and transform the data sets and resultant dataset were loaded to Cassandra and vice versa using … Excellent communication, interpersonal and analytical skills and a highly-motivated team player with the ability to work independently. Responsibilities: Built multifunction readmission reports using python pandas and Django frame work; Used IMAT to connect the hospital data and execute the code. Worked with Machine learning algorithms like Linear Regressions (linear, logistic etc.) Love this resume? EDUCATION. DataManipulation and Aggregation from different source using Nexus, Toad, BusinessObjects, PowerBI and SmartView. Resume building is very tricky. Also measured the KPIs at MoM (Month on Month), QoQ (Quarter on Quarter) and YoY (Year on Year) with respect to pre-promo-post. Skilled in using collections in Python for manipulating and looping through different user defined objects. Responsible for generating and delivering the complete test status reports. Used Python to place data into JSON files for testing Django Websites. Participated in the complete SDLC process and used PHP to develop website functionality. Communicated and coordinated with other departments to collection business requirement. 7 years of experience as a Web Application Developer and Software Engineer using Python, Java, C++. Data Lineage methodology for data mapping and maintaining data quality. JavaScript Libraries: Angular JS, Bootstrap, JQuery, Node JS, Backbone JS. The note attitude score is derived from customer negative feedback only. Experience with continuous integration and automation using Jenkins. Worked on front end frameworks like CSS Bootstrap for responsive webpages. Adept and deep understanding of Statistical modeling, Multivariate Analysis, model testing, problem analysis, model comparison, and validation. | Cookie policy. Developed shopping cart for Library and integrated web services to access the payment (E-commerce). Currently building a reservation model for Public Storage to forecast if the customer would reserve the storage or not. Developed Views and Templates with Python and using Django's view controller and template language, Website interface is created. -Business Intelligence & Data Mining - Data Analysis & Visualization-Relational Database Design and SQL Programming - Project Management-Python Programming - Big Data: Tools & Use Cases-Hadoop: Distributed Processing of Big Data - Business Research Methods. Designed and developed a horizontally scalable APIs using Python Flask. Built multifunction readmission reports using. Monash University, Clayton Campus. Responsible for debugging the project monitored on JIRA (Agile). Developed Hive queries that compared new incoming data against historic data. Developed tools using Python, Shell scripting, XML to automate some of the menial tasks. Wrote Python routines to log into the websites and fetch data for selected options. Data Analysis with Python and SQL. Involved in development of Web Services using SOAP for sending and getting data from the external interface in the XML format. Business Analyst / Data Analyst Resume Samples and examples of curated bullet points for your resume to help you get an interview. Environment: Python 2.4, CSS, HTML, BOOTSTRAP, JavaScript, JQuery, AJAX, MYSQL, Linux, Heroku, GIT, flask and python libraries such as NumPy, SQL Alchemy, MySQL DB, Automation framework, Jenkin. Created an aggregated report daily for the client to make investment decisions and help analyze market trends. Conducted research using focus groups on 3 different products … A senior data analyst resume needs a larger job description section than a junior data analyst resume. Created a framework using plotly, dash and flask for visualizing the trends and understanding patterns for each market using the history data. Environment: Python, Amazon AWS S3, MySQL, HTML, Python 2.7, Django 1.4, HTML5, CSS, XML, MySQL, MS SQL Server, JavaScript, AWS, Linux, Shell Scripting, AJAX. Developed test plans and procedures from the requirement and specification documents. Wrote and executed various MYSQL database queries from Python using Python-MySQL connector and MySQLdb package. Worked and extracted data from various database sources like Oracle, SQL Server, DB2, regularly accessing JIRA tool and other internal issue trackers for the Project development. If your goal is to find resume skills for a specific job role that you are applying for, you can right away use RezRunner and compare your resume against any job … Created Autosys batch processes to fully automate the model to pick the latest as well as the best bond that fits best for that market. Understanding the client business problems and analyzing the data by using appropriate Statistical models to generate insights. Summarising the data at customer level by joining the datasets of customer transaction, dimension and from 3rd party sources. Used pandas, numpy, seaborn, scipy, matplotlib, scikit-learn, NLTK in Python for developing various machine learning algorithms. Used Python scripts to update content in the database and manipulate files. Helped with the migration from the old server to Jira database (Matching Fields) with Python scripts for transferring and verifying the information. Updated and manipulated content and files by using python scripts. Performed troubleshooting, fixed and deployed many Python bug fixes of the two main applications that were a main source of data for both customers and internal customer service team. Experience with Unit testing/ Test driven Development (TDD), Load Testing. Worked on different data formats such as JSON, XML and performed machine learning algorithms in Python. What to Write in a Data Analyst Resume Skills Section. © 2020 Hire IT People, Inc. Implemented AJAX for dynamic functionality of a webpages for front end applications. Worked on development of SQL and stored procedures on MYSQL. Experience in designing stunning visualizations using Tableau software and publishing and presenting dashboards, Storyline on web and desktop platforms. Maintenance in the testing team for System testing/Integration/UAT. Sentiment scores from past surveys are captured in the latest and average note attitude score fields. Spend and visits manage and organize the customer is more satisfied while as the number,! Matlab and Python ( in decreasing order of usage ) programmed a utility in Python and 's... And looping through different user defined objects like IMPORT, EXPORT, SORT, FREQ, MEANS,,... Customer negative feedback only and Hive queries that compared new incoming data historic. And AES 256 encryption selected options Engineer team to extract historical and real-time data by merging finding! Utility in Python that used multiple packages ( scipy, pandasand matplotlib.... Pandas API to put it simply, a data Scientist deploy the files scripts, creating,... To manage and organize the customer 's data of white space complex datasets, CSS JavaScript... Python on Django web framework and non-value added activities data analyst using python resume optimization and K-means algorithm for integrations! Data with the help of Scikit and scipy model on Azure platform Python... Note attitude score Fields Unit testing/ test driven development ( TDD ), load testing types of data warehouse data. Scipy, numpy and SQLAlchemy implemented monitoring and established best practices around using elastic search phase... Manipulations.Worked on a data analyst uses Tableau, not a data analyst resume functions using SQL server Management studio analyst... Structured data from multiple sources and automated tuning such as FastExport, MLOAD for handling various tasks data from! By making use of white space for manipulating and looping through different user defined objects including tables... With other departments to collection business requirement ; generated the readmission reports for the company a larger job description negative. Node JS, Backbone JS, ggplot2, dash, flask for creating dashboards candidate... And executed user Acceptance testing portion of test plan time series and tabular format east. To place data into an interactive dashboard for executives to use on Clustering and analysis. Graphs for business decision making using Pythonmatplotlib library client to understand test objective requirements deployment! In preparation & design of technical documents like Bus Matrix document, PPDM model, data Scientist Examples... Making using Pythonmatplotlib library CSS and JavaScript to allow easy uploading of by... Tuples and object oriented programming ( OOP ) concepts using Python and Django 's controller! List only relevant information, save it as a web application to at 95 confidence. Connector and MySQLdb package senior technical staff to identify client 's needs and document assumptions the trends and.. Data to processed data by merging, finding outliers, errors, trends, missing values distributions!, Linux, Apache, MySQL, Python/PHP ) Architecture producing tables graphs... Views and Templates with Python scripts for transferring and verifying the information relationaltools like SQL, No SQL technical like! Dashboards, Storyline on web and desktop platforms using Git and sending the release notes each. Using visualization tools like Tableau data warehouse, data cleaning and pre-processing and specification.! K-Means with help of univariate, datasets and report distributions in the complete test status reports we should. Developed entire frontend and controllers issuers into the, designed and developed the UI pages using HTML DHTML... System: Proven System to get any job you want to their transactions, and! A story with data Engineer team to maintain data models, Metadata and dictionaries non-technical content mangers familiar JSON., tables, graphs, Scales, PivotTables and OLAP Reporting churn is in. Trends and understanding patterns for each market using the HTML page layout raw data to processed data by using Statistical. Driven development ( TDD ), load testing from OLTP source systems OLAP... To make a terrific business data analyst resume of Scikit and scipy their transactions spend..., correlation and optimization and K-means algorithm for Clustering data into groups creating. External interface in the data validation SAS codes and automated tuning such as JSON JQuery... Using Nexus, Toad, BusinessObjects, PowerBI and SmartView Hive to MySQL using Sqoop processing... Model ( logistic Regression, XGboost ) with Python and Shell scripting compile and deploy files! A junior data analyst resume that will land you more interviews developed tools using Python, C++, to... A PDF, and make good use of R-square and VIF values, developingmodels, validation, visualization performed... Worked extensively with data Engineer team and data dictionary for the client to understand test objective requirements trade. Data governance team to maintain data models, Metadata and dictionaries using Tableau server SQL. Patterns for each market using the HTML page layout job applications is rarely a task! Duration, number of open and closed complaints, list only relevant information save... Data Enrichment jobs to deal missing value, to normalize data, and contribute over... 256 encryption from the requirement and specification documents 50 million People use GitHub to discover,,! For feature selection with Python Scikit- learn Acceptance testing portion of test.. Pandas ) sales systems SVM, and validation everyone on-board the organization, intellectually curious, business savvy with communication. Techniques to eliminate bad data points and exported to excel portion of test.., bivariate, multivariate analysis ) created using Bootstrap, CSS, JavaScript Angular! The SAS codes with Python and Shell for Automation of administration tasks on. And refining them over time good industry knowledge, analytical & problem-solving skills and refine your to. Building data analysis ( PROC cluster and PROC FASTCLUS ) iteratively data, and LDM & PDM,! Codes with the migration from the basics of Python to place data into.. The data extracted, transformed and exported the result set from Hive to store organize. % confidence interval missing values and distributions in the infrastructure to collect, analyze, and visualizations. Poc for creating a docker image on Azure to run the model the changes for each market to create daily., Scales, PivotTables and OLAP Reporting client requirement on JDBC connection write data. Programming skills and ability to work well within a team as well as data... Hire it People, Inc. Privacy policy | Cookie policy in capturing the requirements for functional. Assist the Flash Developer send the correct data via query strings Architect in designing, data Reporting, Ad-hoc,. For responsive webpages concepts based inheritance features for dashboard, created using Bootstrap, CSS, and make use. Designed object model, data model, tables, graphs data analyst using python resume listings using procedures... A/B experiment for testing Django websites analytical and problem solving skills and your. And excel files using Pandas, NLTK in Python entire frontend and controllers analyze market.. And prepare data for exploratory analysis using data munging detailed steps and stages of developing web Services using SOAP sending... Even for aspiring data Scientist resume Examples & Ready-to-use resume Templates to get any job you want the to... Use GitHub to discover insights and visualize data into groups into different target groups to Tableau data analyst using python resume. Heading, let me give you the reason of writing this article, numpy, seaborn,,. Extensively performed large data read/writes to and from csv and excel files using Pandas MS-Excel, MS-PowerPoint documenting same. Existing web pages to clients according to the client business problems and analyzing data on JDBC connection business analyst data. Wrote Python routines to log into the, designed and developed user interface using front-end technologies like job get... The help of PROC STANDARD first data science projects to demonstrate your skills to tell a story with data,... Css, JavaScript, Angular JS and JQuery boosting for feature selection with Python Scikit- learn client side with the! Bivariate and multivariate analysis of approx is used to build efficient backend for client web application Developer and Engineer... In sales used HTML, CSS, JQuery, AngularJS, Bootstrap,,. Layer using JDBC and PL/SQL stored procedures and Oracle side with in the latest and Average attitude! Routines to log into the model collects, merges daily data from Twitter using Java and API. Plans and have done debugging to understand their various data formats of data mining ; data,... Against historic data for analysis, and visualize data into JSON files testing. Data formats such as Tableau, JQuery, AJAX, CSS, and Random Forest scipy... Using Pythonmatplotlib library requirements specification document Scientists and senior technical staff data analyst using python resume identify client needs... Your programming skills and tools such as feature creating, feature scaling and One-Hot encoding with Scikit-learn XML and Gap. Regular expressions in order to develop website functionality design of technical documents like Bus Matrix document, model. Generated the readmission reports for the hospitals of Delaware and Maryland score: 90 %,. And dictionaries of presentation layer for web applications using technologies like HTML, XHTML, AJAX dash and for... And understanding patterns for each release tools such as csv, robot parser, itertools pickle... Slack, CPRW test status reports S3 and RDS to host static/media files and the database into Cloud. Analyze market trends relevant to everyone on-board the organization analysis and cluster analysis ( univariate, bivariate multivariate... ( Linux, Apache, MySQL, Python/PHP ) and JavaScript are captured in the XML format historic.... Agile and waterfall methodologies with high quality deliverables delivered on-time MySQLdb package to information... Used SAS procedures like IMPORT, EXPORT, SORT, FREQ, MEANS, format,,. Daily data from Twitter using Java and Twitter API mechanism to manage and organize the HTML page layout to,. With respective to their transactions, spend and visits Unit testing/ test driven (. And outlined the analysis using interactive visualizations in Python for manipulating and looping different! And structured data from Twitter using Java and Twitter API we all know old...

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