Headline

Data Scientist (Risk-Analytics) Intern at Piramal Finance | ML & Analytics | Python • SQL • ECE 2026

About

B.Tech. graduate from Maulana Azad National Institute of Technology Bhopal in Electronics and Communication Engineering with a Minor in Computer Science (CGPA: 9.05), passionate about building intelligent systems at the intersection of Software Development, Data Science, and AI. I enjoy solving real world problems using data driven approaches and scalable software solutions. My experience spans reinforcement learning, backend development, analytics pipelines, dashboards, and machine learning based decision systems. During my internship at Piramal Finance, I worked on reinforcement learning driven optimization for loan collections strategies. I contributed to designing reward functions, customer state modeling pipelines, cost and response mappings, SQL based weekly data refresh workflows, hash based model weight versioning, and dashboard driven analytics for monitoring recovery and policy performance. I have experience working with Python, SQL, TensorFlow/Keras, PyTorch, Pandas, NumPy, Power BI, Tableau, React, and modern data analysis tools. Open to opportunities in Software Development, AI/ML, Data Science, and Data Analytics.

Location

Mumbai

AI stack

antigravity

claudecode

Work experience

Data Scientist Intern at Piramal Finance, Jan 2026 - Present · 8 mos, Mumbai, Worked as a Data Science Intern at Piramal Finance, contributing to reinforcement learning driven optimization for loan collections strategies. • Built and optimized DQN based decision systems for collections actions across APP, TEXT, CALL, and FIELD channels • Designed reward functions, cost structures, and response mappings for reinforcement learning based policy optimization • Developed customer state modeling pipelines using behavioral signals, temporal decay, and offline RL methods • Automated weekly data refresh and database flow processes using SQL for model training and reporting pipelines • Ensured consistent data flow and model tracking through hash based weight versioning mechanisms • Created dashboards and visualizations to track recovery trends, customer responses, and policy performance • Worked with Python, SQL, Pandas, NumPy, TensorFlow/Keras, and data visualization tools for analytics and decision support

Data Analyst Intern at Infotact Solutions, Mar 2025 - May 2025 · 3 mos, Bengaluru, Karnataka, India, Analyzed complex datasets to derive actionable insights, empowering teams to make informed decisions in financial fraud detection and customer retention. Leveraged machine learning algorithms and statistical methods to enhance predictive accuracy, improving anomaly detection in financial transactions and customer behavior. Developed interactive dashboards that provided users with real-time insights, enabling rapid responses to emerging trends and optimizing operational efficiency. Demonstrated expertise in data processing tools like Python and Pandas, along with machine learning frameworks such as Scikit-learn and TensorFlow, and visualization tools like Power BI and Tableau.

Education

Bachelor's Degree, Electrical, Electronics and Communications Engineering, Maulana Azad National Institute of Technology

Public links

github: https://github.com/Chaitanya2026