Experience
Work
AI/ML Research Intern, Indian School of Business (ISB)
- •Developed and analyzed a 10,000+ entry Indian patent dataset using Python, BERT, spaCy, and Pandas to classify AI vs. non-AI innovations and identify patterns by gender, industry, and timeline, achieving 92% accuracy.
- •Built an end-to-end analytics report using Matplotlib, Seaborn, and Excel, identifying dominant innovation sectors such as healthcare and real estate, and highlighting trends across 20+ years of innovation data.
Feb. 2025 – Jul. 2025
Junior Research Fellow, IIT Roorkee - GoogleExploreCSR
- •Designed and implemented a hierarchical deep reinforcement learning (DRL) framework to automate overtaking maneuvers in autonomous vehicles, segmented into lane-change and straight-driving sub-tasks.
- •Applied DDPG and TD3 algorithms to enable precise continuous control (steering, throttle, braking) in complex, dynamic traffic scenarios using the CARLA Simulator, improving overtaking decision accuracy by 25%.
- •Validated model performance through high-fidelity simulations, demonstrating safe navigation in complex traffic scenarios involving multiple moving and stationary obstacles.
Jan. 2024 – Jun. 2024
Data Science Research Intern, Indian Space Research Organisation (ISRO)
- •Contributed to the project "Weather Prediction using NavIC S-band Signals" by implementing Random Forest, Decision Tree, and Linear Regression, achieving 99.5% accuracy in detecting storm disruption on satellite signals.
- •Analyzed ionospheric disturbances in NavIC and GPS signals (S1, L1, L5, CLKB) during storms, revealed significant correlations between S-band anomalies and storm activity, improving forecasting accuracy and signal reliability.
Jun. 2023 – Aug. 2023