Aditya Chandrasekhar

Data Scientist at Facebook |

Aditya Chandrasekhar is a highly accomplished Data Scientist with over 10 years of experience in Big Data, Programming, and Analytics. He is a passionate learner in the field of Analytics and Data Science, with a strong interest in Mathematics and Programming. Aditya is a graduate of IIT a

13.9

Years of Experience

Education

columbia university, iit

Companies

facebook, morgan stanley, jp morgan, amex, amex, amex, high 5 games, headstrong

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Experience

2021 - Present
facebook
Data Scientist
Ad Auction optimization
2020 - 2021
morgan stanley
VP, Product and Media Analytics
Mobile, Web and Media messaging analytics
2018 - 2020
jp morgan
VP, Mortgage Decision Science
Home Lending Modeling and Analytics
2017 - 2018
amex
Director - Amex Advance Analytics
• Consulted external clients using predictive models built with Amex transactional data for Ad targeting • Performed analytics on strategic synergies with acquisitions • Built campaign measurement product which measures Ad attribution using Amex transactions
2015 - 2017
amex
Sr Manager- Digital Analytics
• Display Ads attribution reporting for best ROI with DSP's and Publishers • Built Market Mix Models for cross channel attribution • Developed automated process to evaluate new data sources for Digital analytics
2013 - 2015
amex
Manager - Digital Analytics
• Acquisition strategy and analytics for Amex Small Business Cards • Developed predictive models and decision journey segments for personalization of Amex site • Developed innovative methods such as using URL domain and ZIP to build targeting audience • Managed big data (tables) and targeting capabilities using Adobe’s DMP, Site visit cookie data Credit Risk Analytics for Prepaid Lending
2013 - 2013
high 5 games
Software Developer
• Implemented simulations of probabilistic math models for Slot Machine Games in C++ using STL • Designed game presentation logic using polynomial equations in C++ (using DirectX Library)
2009 - 2012
headstrong
Software Developer
• Developed Speech Recognition software in JAVA • Implemented telephony protocols such as SIP using socket programming • Designed complex features like Device Detection, External Event handling using design patterns