Managing data science projects in consumer insights / personalization / digital marketing:- Vehicle recommendation in autotrader.com- Personalized audience builder for kbb.com / dealers- Real-time Bidding (RTB) platform modeling to optimize cost per thousand (CPM) and click through rate CTR- Bridge between web activities and known consumer data- Proof-of-Concept projects on personalization by Generative AI

Manage / lead data science projects utilizing Google Cloud Platform (Big Query, DataProc, AI Platform, etc.) in following area:- Estimate price elasticity and optimize competitors' weights- Simulate hotel data using KNN and Kernel Density Estimate- Review / Propose client search recommender system (PySpark)- Predict anomalies by LSTM / BERT- NLP framework to understand client reviews

Responsible for machine learning projects in Wholesale Analytics- Mentoring various machine learning projects related to client needs- Utilizing big data environment using (py)spark and multiple-processing- Mentoring and implementation of client facing applications (R-shiny app, Docker for python packages)

Responsible for developing market risk models include but not limited to:- Machine learning project (Predict intra-day 10-Yr treasury future price moves using 500+ indicators to help mortgage secondary traders)- Pricing models (European swaption by SABR, Bermudan swaption by Hull White, FX forward / option, Variance swap)

Responsible for validating models in following areas for business as usual (BAU) and Comprehensive Capital Analysis and Review (CCAR) usageReplication of market risk models were done in Python or Matlab.

- Understood market statistics to help continue top market maker (liquidity provider) in ARCA / BAT/ INET exchange- Performed statistical analyses to predict market to result in the most profitable trading strategy in equity market and future vs. future market- Simulated liquidity taking / providing framework in Java and Matlab to backtest current / proposed trading strategies

- Proposed reliability design for one of Defense Advanced Research Projects Agency (DARPA).- Managed multiple disciplinary optimized results (aerodynamics, structure, etc.) to guide the global optimized solution.

Research assistant- Developed java package for rotorcraft life cycle cost with Bell Helicopter- Designed control system for Turkish rotorcraft project in MATLABTeaching assistant (August 2004 - January 2009)- Teaching assistant for graduate course on cost analysis and reliability design