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. Experience object oriented programming (OOP) concepts using Python, C++ and PHP. Experience in writing Sub Queries, Stored Procedures, Triggers, Cursors, and Functions on MySQL and PostgreSQL database. Developed various algorithms for generating several data patterns. Involved in writing test cases using JUNIT. Finally, you’ll learn to use your data skills to tell a story with data. Complaints, such as number of open and closed complaints. Experience in python, Jupyter, Scientific computing stack (numpy, scipy, pandasand matplotlib). Worked on improving performance of existing Pig and Hive Queries. Added support for Amazon AWS S3 and RDS to host static/media files and the database into Amazon Cloud. You can use personal data science projects to demonstrate your skills to prospective employers — especially for landing your first data science job. Professional Experience. Designed an A/B experiment for testing the business performance of the new recommendation system. Build My Resume Now Tailor it to a job offer. Worked on Django API's for accessing the database. Implemented machine learning model (logistic regression, XGboost) with Python Scikit- learn. 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. Create, activate and program in Anaconda environment. Built tables in Hive to store large volumes of data. 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. Participated in features engineering such as feature creating, feature scaling and One-Hot encoding with Scikit-learn. Worked on AJAX framework to transform Datasets and Data tables into HTTP-serializable JSON strings. And calculated Process Cycle efficiency of 33.2% and identified value added and non-value added activities. Skilled in using collections in Python for manipulating and looping through different user defined objects. 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. Developed tools using Python, Shell scripting, XML to automate some of the menial tasks. Worked on updating the existing clip board to have the new features as per the client requirements. Role: Python Data Analyst. Normalized the data that is loaded into the, Designed and Developed User Interface using front-end technologies like. Practical experience with working on multiple environments like development, testing, production. 4890 tuples using bar charts, box plots and histograms. Built various graphs for business decision making using Pythonmatplotlib library. Data Lineage methodology for data mapping and maintaining data quality. Utilized Sqoop to ingest real-time data. Automate different workflows, which are initiated manually with Python scripts and Unix shell scripting. Designed and Developed User Interface using front-end technologies like HTML, CSS, JavaScript, JQuery, AngularJS, Bootstrap and JSON. Participated in all phases of datamining; datacollection, datacleaning, developingmodels, validation, visualization and performed Gapanalysis. • Developed Map reduce program to extract and transform the data sets and resultant dataset were loaded to Cassandra and vice versa using … Good experience in writing SQL Queries and implementing stored procedures, functions, packages, tables, views, Cursors, triggers. Worked with Machine learning algorithms like Linear Regressions (linear, logistic etc.) Used Agile Methodology and SCRUM Process. Used Spark and SparkSQL for data integrations, manipulations.Worked on a POC for creating a docker image on azure to run the model. KT with the client to understand their various Data Management systems and understanding the data. Used Python scripts to update content in the database and manipulate files. Experienced in installing, configuring, modifying, testing and deploying applications with Apache. 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