AdTheorent

Director Data Science

Lead Data Scientist

Delivered solutions for various Data Science projects ranging from research & development to creation of production level machine learning models for personalized ads targeting working with very large datasets.

•	Inspired & directed the feature engineering efforts and led the model building on top of these features that allow for much more precise & intelligent predictions.

•	Designed and Implemented Real Time Decision Machine on Real Time Bidding (RTB) platform for scoring 25 billion+ ad requests every day to predict the likelihood of User Engagement using incremental classification models (Java, Deployed on AWS)

•	Designed data schemas used for Experimentation, Retargeting, Reporting and ad-hoc analysis.

•	Worked on several interesting and critical data analytic challenges related to Data Quality & Validation, Ads Fraud, Attribution & Measurement that contributed to the overall reliability and performance of core targeting algorithms. Used SQL, Python (pandas) and Apache Spark for doing most of the analytics work.

•	Collaborated with different business teams to develop strategy, metrics & KPIs for campaign performance and classification models.

•	Participation in creating optimal Real Time Bidding (RTB) strategies to optimize the campaign performance and yield results for Advertisers.

•	Reduced New User Acquisition costs for Top Brands by 10% to 80% by developing robust Classification models using data from various sources.

AdTheorent is a technology company that is transforming mobile advertising through data-driven predictive solutions. AdTheorent's machine learning technology - the Real Time Learning Machine™ (RTLM) - combines millions of data attributes into precise and accurate adaptive models for the purpose of identifying optimal audiences.

Senior Data Scientist

Data Scientist

Data Science, Machine Learning, 5+ years working at Data Driven Startup, Python, SQL, Spark, Java, Passionate, Problem Solver, Go Getter, Self Starter, Ideas


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