Data Scientist, AI / ML Engineer
I turn data into decisions and ideas into AI products. 12+ years in finance data & AI. Building LLM solutions, GenAI strategy, and a first-of-its-kind customer AI bot on local market. Speaker, researcher, and advocate for AI transformation.
I progressed from Data Analyst to AI Products Tribe Lead. Proven track record of building and leading cross-functional data science teams (15+ people, multi-market scope) and delivering end-to-end AI/ML solutions — from business problem framing to production deployment and monitoring.
Core experience spans:
AI & GenAI Products — designing and deploying LLM-based solutions, RAG pipelines, conversational AI bots, and agentic AI systems for both internal and customer-facing use cases Machine Learning — building predictive models including credit scorecards, churn, X-sell/up-sell, NBO, segmentation, income modeling, behavioral scoring, and early warning systems Data Engineering & Big Data — leading real-time event streaming implementations, Spark-based pipelines, and cloud-based data platforms (AWS, Databricks) CRM & Analytics — omni-channel campaign support, A/B testing, customer lifecycle modeling, and BI reporting (Power BI) AI Strategy & Governance — defining AI roadmaps, implementing standards and methodologies, running organization-wide AI education programs
Tech stack: Python, SQL, PySpark, SAS, AWS, Databricks, ML, LLM, NLP, RAG, Agents, CI/CD, Flask, Power BI, PostgreSQL Active conference speaker and researcher in statistics, optimization, and AI. Databricks Certified ML Associate. Harvard ManageMentor certified in managerial leadership.