Phanindra Parashar

Developed revenue optimization using XGBoost and CatBoost, driving 16% ad revenue growth across 1200+ websites. Deployed ML models on AWS for 25M daily users. Utilized Docker for efficient preprocessing. Analyzed 85TB data, built anomaly detection and performance monitoring dashboard. Collaborated on NLP and explored LLMs for text generation, achieving 73% accuracy on text classification. Stays updated with advancements in LLMs and Generative AI for potential applications.

Developed hierarchical reinforcement learning algorithm for autonomous driving using PyTorch. Implemented and tested innovative algorithms, showcasing expertise in deep learning frameworks. Optimized neural networks through hyperparameter tuning. Collaborated with a large research team, effectively communicating complex ideas and presenting findings. Merged traditional control systems with reinforcement learning and created proof-of-concept simulations to demonstrate framework adaptability and effectiveness

• Stakeholder Collaboration: Collaborated with local government and palm oil companies to optimize logistics and reduce costs. Built strong relationships with stakeholders to drive project success. • Adaptability & Leadership: Demonstrated adaptability by pivoting business model to better meet market needs. Led and coordinated teams to develop innovative solutions in a challenging environment.

1.4 CGPA (German Scale) • Advanced Machine Learning (1.0 German Scale) • Machine Learning (1.0 German Scale) • Predictive Modelling (1.7 German Scale)

8.8 CGPA