Working as a Analytics consultant, responsible for end to end delivery of project.Projects Details: • Developed a recommendation engine and set up an analytical framework for cross selling of products among Enterprise customers using statistical algorithms and machine learning techniques like Logistic regression, Decision tree using R. • Developed a recommendation engine and set up an analytical framework for Churn prediction among Enterprise customers using statistical algorithms and machine learning techniques like Logistic regression using R• Developed an analytical framework to help Finance team in their audit and compliance process for Record to Report Finance solution using rule based statistical algorithms using R and Excel• Developed an analytical framework to identify and overcome risk in Balance sheet reconciliation for Vodafone Finance team using RFM (Recency frequency and Monitory) statistical algorithms using R• Identified relationship between R-NPS (Response Net Promoter Score – customer experience) and Revenue factor, analyzed impact of customer R-NPS on revenue and helped business to implement best strategy on customer experience program • Developed a solution using R to forecast Mobile Customer Revenue for next one year using Time series modelling, which was capable enough to run around 240 models (8 unique models) for different components of revenue from ARIMA family, Exponential family, ETS family and selected best 24 models amongst them.• Defined new cutoff value in existing Fraud Management System (FMS) using statistics for "Pattern" and "Threshold" group to increase predictive strength of FMS using R.

Worked as a Database developer. Worked on Oracle SQL, PL/SQL and ETL tools.Responsibilities:• Writes conversion (a program which converts load flat file data in client schema) as per client requirement.• Loads a data into live database of client on daily, weekly, bi-monthly, monthly, quarterly, and semi-annual/ annual basis• Understood the technical/ functional specifications provided by clients• Monitoring Alert Log files and validates the backup on Daily basis.• Checked correctness/validity of data using various tools and Initial Data Statistics (IDS) reports• Investigated the difference between two Oracle queries using Oracle Differ• Removed the bugs from the data received from the carrier and loaded fine data into live database as per client’s requirements without missing SLA• Provided support (call/email/ tickets) to the client for issues• Loading the data into Live Database of client, resolving the client requirements as per the ticket/email within the SLA of three days• Recovery of objects into Prior point in time.• Changed mappings as per the request using ETL