Data Scientist/Machine Learning Engineer @ Driving Score Improvement Classification Driver vs Passanger From October 2015 to December 2015 (3 months) Greater New York City AreaData Scientist - Summer Intern @ # Explore aRule package in R for association mining (Use Apriori & Eclat Algorithms) to identify the clicks pattern and association between groups, posts and age of users/children. # Write custom API in python to retrieve data from web using Google DFP API structure. # Design dashboard using R-shiny server and shell/Bash script to integrate Amazon s3, Athena-BI server and PostgreSQL for business applications and campaign design. # Design shell scripts to update Real Time bidding performance and strategy data to take effective decision on advertises, bidding/auction strategy. # Write bash script to perform time-based backup of log files and process apache log on AWS s3. # Use Ec2 and EMR (Elastic Map Reduce) to manipulate data. Performed various data mining/aggregation task by Hive QL. # Design RegEx and parser to parse apache requests and Test UA – parser library in C++ and Python for IE 11 browser and different mobile platform. # Extensively use HDFS and Map Reduce / Tez in daily task. # Hands of Experience on given Tools/languages/Scripts : AWS (s3/Ec3/EMR), R, Python, C++, R-shiny Server , Shell/Bash Script From May 2015 to August 2015 (4 months) Greater New York City AreaSenior Data Analyst @  Product Restructuring & Card Re- pricing Strategy  CashBack Strategy & Payout Frequency analysis  Checking account analysis and Activation strategy for Inactive checking account/Members  Product Upgrade & Signature card Design From January 2014 to July 2014 (7 months) Analyst @ Product Development  Portfolio Health Review  Peer Benchmarking Campaign Strategy and Offer Design  Credit line adjustment (Credit line Increase/Decrease) to increase revenue/diminish losses.  Spend strategies to boost portfolio spending behavior.  Campaign Impact analysis and $ value addition to overall business.  Strategic Analysis on Client's Credit Card portfolio stack. Transactional Analytics  Spend Category Identification & Top Merchant categories  Merchant Level offer design  Define and Design Trigger and suitable offers Behavioral Segmentation & Analysis  Behavioral segmentation of portfolio – by purchase and balance.  Month on book Analysis for understand the activation and underwriting strategy and behavior of new acquired cards.  Activation strategy for inactive and low engage card members. Portfolio Health Assessment  Problem identification and recommendation of suitable treatment  By Balance trends,  Purchase behavior,  Current acquisition vs. existing members,  Revenue vs. Expenses trends  Product Performance Risk Management  Identification of riskier account by financial history.  Risk analysis by Loss severity ( Net $ loss rate ), Default Rate  Bureau risk analysis Data Process & Reporting  Monthly Business Report  Financial Strategic Report  Functional support for Data upload and derive flags  Database audit From June 2012 to September 2013 (1 year 4 months) Ahmedabad Area, IndiaAssistant System Engineer-Trainee @ Assistant System Engineer(Pre ILP ASPIRE) From May 2012 to June 2012 (2 months) Ahmedabad Area, IndiaIntern - Data Analyst @ # I was working as Data Analyst.As an analyst i have to profiling the data for analysis.we have data for banks customer and predict the profitability customers on the basis of their past financial history, behavior and trends. # In the process of analysis i used tools like Advanced MS Excel,Statistical Package for social science (SPSS). # In the process of model building, i referred number of case studies for better understanding of forecasting methods and prediction of severity. as an outcome of this project i helped myself to gain knowledge of Data mining and statistics. From October 2011 to May 2012 (8 months) Ahmedabad Area, IndiaProject Trainee -- Software Engineer @ Food Card is a web based three tier architecture application created for one of the retail company. Food card proposed taxation benefits to the users and increases the revenue of the retail company. Food card had components like barcode generation, stock movement, redemption and top-up. Application is card like prepaid card or credit card that is given by employer to employee. Employee can top-up the card by paying advance amount at store, or employer can request the top-up from the monthly salary of the employee. Employee can shop food items from defined stores / malls. Redemption contract were web service based which facilitates POS (Point of Sale) machine integration easiness. Server : Glassfish V 3.1 IDE / Development Tools : Netbeans 6.9, SOAP UI, PGAdmin User Interfaces : JSPs / JQuery Controller : Servlets Database : Postgres 9.0 Database Connectivity : JDBC (DataSource) Reports : iText, Apache POI Schedulers : Quartz OS : Linux / Windows XP From May 2011 to May 2012 (1 year 1 month) Ahmedabad Area, India

Master of Science, Computer Science @ New York University From 2014 to 2016 Big Data Analytics @ Caltech From 2014 to 2015 Bachelor of Engineering (BE), Information Technology, Distinction @ Gujarat Technological University From 2008 to 2012 Certificate Course, Decision Science(Analytic), 3.0 @ Academy for Decision Science, Ahmedabad (Associated with North Carolina State University) From 2011 to 2011 SSC @ Sarvoday Vidhya Mandir From 1996 to 2006 Coursera Bhaumik Patel is skilled in: Data Mining, Analytics, Business Analytics, Databases, Data Analysis, SPSS, Predictive Modeling, Hive, Python, Shell Scripting, MySQL, Analysis, Operations Research, Cluster Analysis, Forecasting