Gen AI Data Scientist at Infosys| Python | Machine Learning | Deep Learning | Computer Vision | Recommender Systems | Time Series Analysis | Tensor Flow | Hypothesis Testing

Hybrid

Hyderabad, Telangana, India

Bachelor of Technology - BTech, Electrical and Electronics Engineering
RGUKT Basar
Join Praveen and 10k+ other professionals on
Tal is the app where bosses meet engineers & builders directly, without middlemen
Download Tal BossGen AI Data Scientist at Infosys| Python | Machine Learning | Deep Learning | Computer Vision | Recommender Systems | Time Series Analysis | Tensor Flow | Hypothesis Testing
I am excited to start my career as an Data Scientist in this rapidly growing field.I am passionate about leveraging data to solve real-world problems and enhance business decisions. As a highly motivated and detail-oriented individual, I am eager to work on challenging projects and collaborate with cross-functional teams. My goal is to contribute to the growth of an organization by leveraging my technical skills and constantly learning from my peers. If you are looking for a driven, enthusiastic, and analytical team player, let's connect!
Hyderabad
Data Scientist Gen AI at Infosys, Mar 2025 - Present · 1 yr 2 mos, Hybrid
Data Scientist at Tata Consultancy Services, Feb 2022 - Feb 2025 · 3 yrs 1 mo, Hyderabad, Telangana, India, Developed 17 Machine Learning-based acquisition scorecards for various vehicle segments, including 5 for cars,3 for two-wheelers, 4 for tractors, and 5 for small commercial vehicles (3W and 4W autos). Achieved ”Green” status for 14 out of 17 scorecards in quantitative measures and for 17 out of 17 scorecards in qualitative measures, with model mitigation scores ranging from 2.7 to 2.95 out of 3, as rated by the Model Risk Management (MRM) team, regulated by the Board of Directors. Reduced NPA flows by 25-30% by identifying and scrutinizing higher-risk customers, enabling more effective risk-based pricing, streamlined approvals, and field investigations. Implemented prudent risk management strategies, improving portfolio health and overall performance. Diversified dependency on the CRIF-HighMark credit bureau by analyzing portfolio-level delinquency and risk separation based on CRIF score risk buckets. Created a pre-approved customer base for cross-selling other products, leveraging scorecard risk appetites to onboard higher-quality customers and support business growth
Bachelor of Technology - BTech, Electrical and Electronics Engineering, RGUKT Basar