SUMMARY

• Software Professional with strong analytical skills and technical background. Ability to meet challenges and comprehend business objectives within limited timeframes. An excellent team player who can develop creative solutions.
• 12+ years of IT, Finance & Risk management experience in Data analysis, statistical analysis, diagnostics, predictive analytics, digital product analysis implementation and maintenance of MS Business intelligence, R, Python and Tableau platforms.
• Extensively worked on using major statistical analysis tools such as R, Python, Spark, H2O.ai, SQL, SAS and Data mining - Theano, Caffe, Digits, TensorFlow
• Expert in: data acquisition, storage, analysis, integration, Predictive modeling, logistic regression, decision trees, data mining methods, forecasting, factor analysis, cluster analysis and other advanced statistical techniques
• Experience in Hadoop Big data like Hive, Pig and Map reduce.

TECHNICAL SKILLS

• Python \ R
• Risk Modeling
• Hive \ Pig
• MapReduce
• SQL\ MySQL
• Testing Hypotheses
• Hadoop \ Big Data
• Apache Spark
• Mango DB
• SAS
• Reporting
• ETL tools
• Data Wrangling
• Data Visualization
• Text Mining
• Project Management
• Spark/Scala

PROFESSIONAL EXPERIENCE

Confidential, VA

Sr. Data Scientist

Responsibilities:

• Managed small team of data scientist & data analyst to improve exiting vPrice applications
• Performed data cleansing and data mapping using Python & R programming language for generating price simulations to enable pricing decisions for profit analysis of contracts.
• Achieved 89% accuracy on Renewal score card predictive module using Oracle SQL & R studio
• Created Discount prediction model using Python Jupyter & Panda with 87% percent accuracy.
• Design & developed data base architecture in Oracle for analytical purpose.
• Developed comprehensive data visualizations in Tableau dashboard to illustrate complex ideas to various stakeholder levels on KPI’s like product supply & capacity, cost for moving out of recommended tiers, price increase trend analysis by competitor etc.

Confidential, NY

Sr. Data Scientist

Responsibilities:

• Managed data governance team and collaborated with data warehouse developers to meet business user needs, promote data security, and maintain data integrity
• Improved probability of payment model accuracy by 27% using additional credit bureau information
• Achieved global account monitoring coverage to 99.62% by improving the linkage & matching logic which improved new account decisions, reactive line actions and collections
• Launch credit bureau reporting for new lending\loan portfolios like merchant finance & working capital term
• Engage with 3rd party vendors to discuss new opportunities and enhance existing data exchange processes
• Promoted enterprise-wide business intelligence by enabling report access in SAS BI Portal and on Tableau

Sr. Consultant

Responsibilities:

• Developed Advanced Performance Analytic Capability (APAC) for corporates customer which is used by information & risk management team for analysis.
• Implemented enterprise data management platform (DMP) for portfolio roll rate reports.
• Conducted data preparation, and outlier detection using SAS and built the model using R
• Take targeted action on high risk client using Unsupervised machine learning algorithm as part of project Lemonade which saves $33 million in PTI
• Accurately predict loss given forecasts for corporate portfolio by working with finance team
• Performed portfolio management and monitoring, risk reporting and identifying key risk segments
• Modeled customer value segmentation by incorporating premium benefit usage which improved approval rating by 23%
• Measured financial benefits of $50 million marketing campaign investments.
• Analyzed performance and behavioral patterns of various airports, airlines and partner merchant.
• Generated various partner value story reports for Delta, American and other airlines.
• Created database object in Big data Hadoop using Hive, Pig & Map reduce.
• Re-engineered economics of small business customers by building decision making and analytic capabilities.
• Modeled Business Intelligence for Pre Call Planning which gives user better understanding of customers.
• Performed analysis on small Business APP like AcceptPay, SearchManager & Admanger.
• Scored Modeling for SAT Biz Apps Marketing & Marketing Suite Campaign Executions.
• Developed metric to access customer’s digital engagement by tracking their online behavior.
• Created self-service utilities for evaluation Marketing Campaign results.

Confidential, Richmond, CA

Sr. Database Developer

Responsibilities:

• Provided a variety of web-based reporting tools that allow users to collect data and perform ad-hoc activity
• Designed and generate customized reports to meet the needs of a diverse user population.
• Gathered business requirements and translated into detail design for developers and tester.
• Managed the entire backend activities and application single handedly.
• Created Development Tracker document and keep the track of each development.
• Resolved the Technical issues that come up during development.
• Generated various call sequence to open new account, terminate account and update existing account.

Confidential

Sales Engineer

Responsibilities:

• Designed and develop entire application from scratch.
• Created various reports of sales on the basis of product and region.
• Tracked performance of regional and local franchises.
• Automated the process from Data extraction to reporting.