Headline

Data Scientist/AI Engineer at Societe Generale | Data and AI

About

Senior Data Scientist with 5 years of experience delivering enterprise AI/ML solutions in Corporate & Investment Banking. Expertise in Machine Learning, Generative AI, Responsible AI, and production-grade ML systems, driving regulatory compliance and operational efficiency at scale. Proven leader of cross-functional teams, translating complex business challenges into scalable AI solutions with measurable business impact.

Location

Tamil Nadu

AI stack

antigravity

opencode

Work experience

Data Scientist at Societe Generale Global Solution Centre, Jan 2024 - Present · 2 yrs 8 mos, Chennai, Tamil Nadu, India, Team: Compliance Data Science Division | KYC Project: FCCR, Financial crime client rating • Built and productionized a Nested Dichotomized Logit model (3 Step model) and Random Forest model to ensure financial crime compliance of 15+ million retail clients across EURO region • Developed model monitoring framework for batch with 10+ KPI's evaluating various aspects of data and model in production. Saved potential regulatory fines by proactively flagging data drift & model relevence issues due to UKR-RUS conflict • Reduced model dev time by 30% by implementing stage-based stratified Cochran sampling & expert labeling

Associate Data Scientist at Societe Generale Global Solution Centre, Jun 2021 - Dec 2023 · 2 yrs 7 mos, Chennai, Tamil Nadu, India, Team: Compliance Data Science Division | KYC Project: FCCR, Financial crime client rating • Designed and built FCCR deployment simulation framework to simulate production ML pipeline in a sandbox environment to onboard entities to FCCR production. • Designed and built a framework for Impact Assessment activity by generating automated HTML reports to examine the impact of change in business rules for different KYC risk factors. • Conducted KYC data study and onboarded 15+ Million clients from 25+ entities across various BU's to FCCR. • Designed and built DQ control framework using R to identify data quality issues in KYC data; Achieved 1.5 FTE gains. • Optimized client data analytics and report generation process using SparklyR, reducing runtime by 85%

Education

Bachelor of Engineering, Computational Science, Madras institute of technology