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Work Background
EXLData Scientist
Jun. 2021 - Dec. 2023New York, United StatesDesigned and deployed a fraud detection model using XGBoost, saving over $500K annually in fraud-related losses while enhancing customer protection. Developed an anomaly detection system using Isolation Forests to flag outlier customer transactions for proactive investigation. Led analytics on 10+ remediation projects using Spark, Python, and SQL (Hive, Impala), saving over $100K in customer losses. Conducted data validation for remediation efforts ensuring project accuracy and compliance.
EXLProject Manager
Jun. 2021New York, United StatesProject manager in building fraud detection models. We built three models for a major US bank that saves them half a million dollars a year in losses but more importantly saves the customers against attacks by internal fraudsters. We used Isolation Forest and Xgboost in model building and python as the language. My role was to oversee the project from a technical point of view and also to document and present the findings to the client.
American ExpressSenior Data Scientist
Apr. 2019 - Feb. 2021Greater New York City AreaContinued to provide acquisition analytics for Personal Savings. Served as developer and project manager and product owner partnering with capabilities, decision sciences, and external vendors to deliver solutions at top speed. Details of selected work: - Wrote SQL code in Hive that using backend data, finds Amex card holders who frequently visited Personal Savings pages but haven’t opened an account. Put the code in production to pull the list daily for marketing purposes. - Managed a team of data scientists to build models to predict response rate and balance of prospects for our DM campaigns, the models save 25% marketing costs. - Managed an offshore team of data engineers to build partitions for Hive tables. This increased speed queries by more than 50%. - Created automated dashboard of Personal Savings customers, their card usage, and their savings. This is a dashboard for higher management to keep an eye on their customers and possible attrition on a weekly basis. - Wrote SQL code in Hive to pull transaction data and find expenditure pattern of card holders and see which ones would like Personal Savings products better.
American ExpressData Scientist
Apr. 2017 - Feb. 2020New York, NYLed direct mail campaigns that grew the portfolio by 25% annually. Developed A/B testing frameworks for direct mail campaigns, measured creative effectiveness, performed statistical analysis, and presented insights. Built predictive models to optimize customer targeting, reducing marketing costs by 25% and improving response rates. Designed SQL-based automated systems for customer list generation and segmentation. Created a performance dashboard for digital marketing campaigns, saving $400K annually. Directed the partitioning of Hive tables, boosting query speed by over 50%.
Automated weekly dashboards for customer behavior and churn risk monitoring.
Managed an offshore team to deploy an encrypted ETL pipeline essential for analytics.
American ExpressBig Data Consultant
Mar. 2016 - Mar. 2017Greater New York City AreaDelivered scalable ETL solutions using Pig, Spark, and Hive. Built a CPU monitoring script improving system availability by 25%. Optimized Hive table performance using Python. Implemented social media data extraction pipelines for sentiment analysis. Developed web scraping tools to extract and visualize market insights.
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