Overview
Moe Chabot is the founder of Deep-ML, a position held since November 2024 [1][3]. Chabot holds a Bachelor of Business Administration in Statistics and Quantitative Modeling from Baruch College, completed between 2014 and 2018 [9]. Prior to founding Deep-ML, Chabot worked as a Data Scientist at Citi beginning in August 2022, where the focus involved applying advanced language models and vector databases to financial technology, including implementing Retrieval-Augmented Generation methods for customer complaint data integration with internal controls [2][4]. Chabot's earlier data science roles included positions at sparks & honey, Optimalex, AdHawk, and Mobitech between 2018 and 2022 [5][6][7][8].
Profile introduction
At Citi, my focus is on pushing the boundaries of financial technology through the application of advanced language models and vector databases. The successful integration of customer complaint data with internal controls using the Retrieval-Augmented Generation method stands as a testament to our team's commitment to innovation and proactive risk management, resulting in a marked decrease in major customer complaints and regulatory impact. My academic foundation in statistics and quantitative modeling from Baruch College underpins my approach to extracting actionable insights from complex da…
Career history
- FounderNov 2024 to presentDeep-ML
- Data ScientistAug 2022 to presentCiti
- Data ScientistJul 2021 to Aug 2022sparks & honey
- Data ScientistJun 2020 to Sep 2020Optimalex
- Data ScientistMay 2019 to Apr 2020AdHawk
- Junior Data ScientistOct 2018 to Jan 2019Mobitech
Education
- BCBachelor of Business Administration - BBA, Statistics and quantitative modeling2014 - 2018Baruch College
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