Reddy Sekhar — Data Scientist
Data Scientist with 3+ years of experience delivering production-grade Machine Learning and GenAI solutions across regulated domains including Banking Risk (Credit Risk, Fraud, AML) and Healthcare AI. Strong expertise in PD-style credit risk modeling, Early Warning Indicators (EWI), Expected Credit Loss (ECL)–aligned analytics, and real-time fraud detection using logistic regression and tree-based models with explainability (SHAP) for regulatory compliance. Proven track record of building scalable, audit-ready analytics pipelines, anomaly detection systems, and LLM/RAG-based solutions that translate complex transactional, behavioral, and clinical data into measurable business and risk outcomes. Experienced in working closely with risk, compliance, product, and engineering stakeholders in large enterprise environments.
Stackforce AI infers this person is a Data Scientist specializing in Fintech and Healthcare AI.
Location: Bengaluru, Karnataka, India
Experience: 4 yrs 3 mos
Skills
- Data Science
Career Highlights
- 3+ years in Machine Learning and GenAI solutions.
- Expertise in credit risk modeling and fraud detection.
- Proven track record in building scalable analytics pipelines.
Work Experience
Jana Small Finance Bank
Data Scientist (10 mos)
NatWest Group
Data Scientist (1 yr 2 mos)
LTIMindtree
Data Scientist (1 yr 11 mos)
Mindtree
Apprentice (5 mos)
Education
BCA at Sri Venkateswara University
Master of Technology - MTech at Birla Institute of Technology and Science, Pilani
MEC at krishna reddy siddhartha jr college
at Vijaya Bharathi English medium High school