Used big data tools Spark (Sparksql, Mllib) to conduct the real time analysis of credit card fraud based on AWS * Performed Data audit, QA of SAS code/projects and sense check of results. Generated Python Django Forms to record data of online users, Used Python and Django creating graphics, XML processing, data exchange and business logic implementation. Pick the right data analyst resume template. Developed Hive queries that compared new incoming data against historic data. 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. Developed test plans and procedures from the requirement and specification documents. © 2020 Hire IT People, Inc. Good knowledge of HadoopArchitecture and various components such as HDFS, Job Tracker, Task Tracker, Name Node, Data Node, Secondary Name Node, and MapReduce concepts. 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. Experience in using collections in Python for manipulating and looping through different user defined objects. Prepared Scripts in Python and Shell for Automation of administration tasks. Extensive experience in Text Analytics, generating data visualizations using R, Python and creating dashboards using tools like Tableau. Utilized standard Python modules such as csv, robot parser, itertools and pickle for development. Worked on development of data warehouse, Data Lake and ETL systems using relational and non relationaltools like SQL, No SQL. GitHub is where people build software. 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. 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. 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. Now before you wonder where this article is heading, let me give you the reason of writing this article. Captures the changes for each market to create a daily email alert to the client to help make better investment decisions. Generated the readmission reports for the hospitals of Delaware and Maryland. | Cookie policy. The job of a Data Analyst is a crucial one for the company. If the note attitude is zero, the customer is more satisfied while as the number increases, satisfaction level decreases. Worked on front end frameworks like CSS Bootstrap for responsive webpages. Created SQL tables with referential integrity and developed advanced queries using stored procedures and functions using SQL server management studio. Highly skilled in using Hadoop (pig and Hive) for basic analysis and extraction of data in the infrastructure to provide data summarization. Write Python scripts to parse JSON documents and load the data in database. Running SQL scripts, creating indexes, stored procedures for data analysis. Good industry knowledge, analytical &problem-solving skills and ability to work well within a team as well as an individual. Developed Hive queries for analysis, and exported the result set from Hive to MySQL using Sqoop after processing the data. Iteratively rebuild models dealing with changes in data and refining them over time. Worked on different data formats such as JSON, XML and performed machine learning algorithms in Python. Worked on rebranding the existing web pages to clients according to the type of deployment. Data Analyst Resume Example. Implemented web applications in Flask and spring frameworks following MVC architecture. EDUCATION. Developed the project in Linux environment. What to Write in a Data Analyst Resume Skills Section. Variable selection was done by making use of R-square and VIF values. Operating System: UNIX, SUN Solaris, Linux, HPUX, Windows, Reporting Tools: SQR reports, AXSPoint Reports. And it also pays well. Tasked with migrating the django database from MySQL to PostgreSQL. Used many regular expressions in order to match the pattern with the existing one. Designed and developed data management system using MySQL. Gained expertise in Data Visualization using matplotlib, Bokeh and Plotly. Deployed Machine Learning (Logistic Regression and PCA) to predict customer churn. Used Python to place data into JSON files for testing Django Websites. Built and analyzed datasets using R, SAS, Matlab and Python (in decreasing order of usage). Data Analyst with 5+ years of experience skilled in recording, interpreting and analyzing data. Extensive experience in Data Visualization including producing tables, graphs, listings using various procedures and tools such as Tableau. Implemented monitoring and established best practices around using elastic search. 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 … Worked on Django API's for accessing the database. JavaScript Libraries: Angular JS, Bootstrap, JQuery, Node JS, Backbone JS. Data Analyst Resume Example Resume Score: 90%. You can use personal data science projects to demonstrate your skills to prospective employers — especially for landing your first data science job. 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. Build Your Own Now. Participated in all phases of datamining; datacollection, datacleaning, developingmodels, validation, visualization and performed Gapanalysis. Complaints, such as number of open and closed complaints. Worked on development of SQL and stored procedures on MYSQL. Standardised the data with the help of PROC STANDARD. 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. 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%. Professional Experience. Used Agile methodology and SCRUM process for project developing. Extracted data from HDFS and prepared data for exploratory analysis using data munging. Minimum of 3 years experience, specifically in statistical/data analysis and data mining, predictive modeling, cluster analysis, and optimization Proficient in Python, R, SAS, SQL, Java, VBA Track of record of delivering innovative analytical insights Strong commitment to organizational success and team work 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. Our in-house resume experts have created a state-of-the-art online resume builder containing ready-to-use content templates and ATS-friendly resume designs to … Developed views and templates with Python and Django's view controller and templating language to create a user-friendly website interface. 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. Practical experience with working on multiple environments like development, testing, production. Analyzed performance test requirements and developed test plans and have done debugging to understand test objective requirements. Created PHP/MySQL back-end for data entry from Flash. Survey sentiment data. Data elements validation using exploratory data analysis (univariate, bivariate, multivariate analysis). Effectively communicated with the external vendors to resolve queries. Apply to Data Analyst, Business Analyst, Administrative Analyst and more! Environment: Java, Servlets, JDBC, HTML, CSS, JavaScript, JSON, XML, PL/SQL, SQL, web services, JUNIT. Privacy policy Designed an A/B experiment for testing the business performance of the new recommendation system. Angular.js is used to build efficient backend for client web application. Used Teradata15 utilities such as FastExport, MLOAD for handling various tasks data migration/ETL from OLTP Source Systems to OLAP Target Systems. Responsible for generating and delivering the complete test status reports. Data Lineage methodology for data mapping and maintaining data quality. Used Python to extract information from XML files. Generated detailed report after validating the graphs using R, and adjusting the variables to fit the model. More than 50 million people use GitHub to discover, fork, and contribute to over 100 million projects. Involved in Unit testing and Integration testing. Worked on AJAX framework to transform Datasets and Data tables into HTTP-serializable JSON strings. Perform 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. 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. Supported MapReduce Programs running on the cluster. Used the Django Framework to develop the application. Extensively used Python's multiple data science packages like Pandas, NumPy, matplotlib, Seaborn, SciPy, Scikit-learn and NLTK. Extensively performed large data read/writes to and from csv and excel files using pandas. Created Servlets and Beans to implement Business Logic. Used HTML, CSS, JQuery, JSON and Javascript for front end applications. Good experience with Amazon Cloud EC2, Simple Storage Service S3 and Amazon SQS. Luckily, that’s not entirely true in data science. Created video publishing toolkit using Wordpress (PHP/MySQL) and JavaScript to allow easy uploading of video by non-technical content mangers. I had to assist the Flash developer send the correct data via query strings. Participated in requirement gathering and worked closely with the architect in designing and modeling. A data analyst uses Tableau, NOT a data scientist or machine learning engineer. Used Spark and SparkSQL for data integrations, manipulations.Worked on a POC for creating a docker image on azure to run the model. Environment: Python, MySQL, Django, Flask, PHP, XML, HTML, DHTML, CSS, Angular JS, Java script, Windows, Linux. Experience in designing stunning visualizations using Tableau software and publishing and presenting dashboards, Storyline on web and desktop platforms. Excellent communication, interpersonal and analytical skills and a highly-motivated team player with the ability to work independently. Developed various algorithms for generating several data patterns. We’ve analyzed countless applications in order to develop a data analyst resume that will land you more interviews. Claims, such as claim settlement duration, number of claims that are filed and denied. Time Series Analysis •Performed data mining, data cleaning & explored data visualization techniques on a variety of data stored in spreadsheets and text files using R and plotting the same using ggplot2 function •Sufficient exposure to designing and developing Tableau reports and dashboards for data visualization using R & Tableau We all know the old catch-22 — you need a job to get job experience and job experience to get a job. To put it simply, a data analyst is someone who uses technical skills to analyze data and report insights. Developed and tested many features for dashboard, created using Bootstrap, CSS, and JavaScript. • Developed Map reduce program to extract and transform the data sets and resultant dataset were loaded to Cassandra and vice versa using … Typical responsibilities included in a Python Developer resume examples are writing code, implementing Python applications, ensuring data security and protection, and identifying data storage solutions. Converted raw data to processed data by merging, finding outliers, errors, trends, missing values and distributions in the data. Environment: Spark, Hadoop, AWS, SAS Enterprise Guide, SAS/MACROS, SAS/ACCESS, SAS/STAT, SAS/SQL, ORACLE, MS-OFFICE, Python (scikit-learn, pandas, Numpy), Machine Learning (logistic regression, XGboost), Gradient Descent algorithm, Bayesian optimization, Tableau. -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. Experience with continuous integration and automation using Jenkins. Expertise in Service Oriented Architecture (SOA) and its related technologies like Web Services, BPEL, WSDLs, SOAP1.1, XML, XSD, XSLT etc. Worked on updating the existing clip board to have the new features as per the client requirements. Maintenance in the testing team for System testing/Integration/UAT. KT with the client to understand their various Data Management systems and understanding the data. Use the best data analyst resume format. Developed entire frontend and backend modules using Python on Django Web Framework. • 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. August 12, 2016 | By the Resume Genius Team | Reviewed by Mark Slack, CPRW. Conducted research using focus groups on 3 different products … Built scalable and deployable machine learning models. Automate different workflows, which are initiated manually with Python scripts and Unix shell scripting. From different source using Nexus, Toad, BusinessObjects, PowerBI and.... Performance of the website using the HTML, CSS, JavaScript, JS... 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