Satyake Bakshi
Model Dev Tech Dev Mgr (Insights and Innovation i & i) - Artificial Intelligence and Machine Learning @BMO U.S.
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WORK HISTORY
Model Dev Tech Dev Mgr (Insights and Innovation i & i) - Artificial Intelligence and Machine Learning @BMO U.S.
US
Performing full-cycle validation of Machine-Learning/Deep Learning fraud models to ensure compliance with Model Governance. • Developed strategies for fraud loss minimization and enhancing monitoring processes.• Data Mining with GROQ (LLAMA 3.1)- identifying check numbers and amounts from comments generated by fraud analysts• Designing DQ Rules• Designing custom drift indicators on various vendor models, FraudChex, Verafin, TMX, Socure,i.e, Character Stability Index (CSI).etc• Summarizing vendor documentation for streamlined reporting using RAG-based applications (FAISS, Langchain, Groq/open API/Azure equivalent).• Designing thresholds for Data volume monitoring.
EDUCATION
Carleton University
Master of Applied Sciences , Biomedical Engineering
University of Ottawa
Masters of Applied Sciences , OCIBME (Joint)
BD Memorial international
Senior Secondary , Physics ,Chemistry,Maths , Biology
Vellore Institute of Technology
Bachelor of Technology (B.Tech.), Biomedical/Medical Engineering
ABOUT SATYAKE BAKSHI
Dynamic Innovator and data scientist adept in developing machine learning models. Goal driven expert, talented at utilizing data analysis and Machine Learning in generating insights to solve for real word problems. Possessing high-level experience in modern machine learning techniques. Ability to navigate emerging technologies and industry solutions with ease.
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