Managed the registration and organization of a transformative workshop focused on universal human values.
Highlights
Managed the registration process for an eight-day workshop on Universal Human Values, ensuring an efficient and seamless experience for all participants.
Organized a transformative eight-day workshop focused on self-exploration and the analysis of values inherent in individuals.
Led campus ambassador recruitment and coordination, and managed comprehensive logistics for a large-scale cultural festival.
Highlights
Recruited over 150 Campus Ambassadors nationwide, significantly amplifying the fest's outreach through effective social media and promotional campaigns.
Coordinated seamlessly with Campus Ambassadors to ensure timely accomplishment of targets and maintained comprehensive records.
Strategized and executed complex logistics encompassing hospitality, accommodation, transportation, and event management for over 2500 participants.
Provided crucial support in managing logistics and recruitment processes for student placements.
Highlights
Managed the logistics for shortlisted students during tests and interviews, ensuring smooth coordination and execution of the placement process.
Handled the recruitment process for leading companies, including Finmechanics and Enphase.
Courses
Probability and Statistics
Partial Differential Equations
Complex Analysis
Linear Algebra and Ordinary Differential Equations
Introduction to Machine Learning
Probabilistic Machine Learning
Introduction to Reinforcement Learning
Machine Learning for Wireless Communication
Statistical & AI Techniques in Data Mining
Introduction to Electronics
Microelectronics
Digital Electronics
Power Electronics
Signals, Systems & Networks
Control Systems Analysis
Digital Control
Power Systems
Introduction to Electrical Engineering
Electromagnetic Theory
C, C++, SQL, MATLAB, Python.
NumPy, Pandas, Matplotlib, TensorFlow, PyTorch, Seaborn, Scikit-Learn.
Git, GitHub, LTspice, LaTeX.
Summary
Designed and evaluated an incremental learning framework for binary classification, focusing on maintaining model stability and adaptability across sequential datasets.
Summary
Conducted a comprehensive analysis of the IBM Telco Customer Churn dataset to identify key influencing factors and predict churn with high accuracy.
Summary
Developed a robust system to accurately distinguish AI-generated text from human-written content, leveraging advanced NLP and machine learning techniques.
Summary
Engineered a multi-model framework for comprehensive sequential and text data analysis, addressing complex dependencies and achieving high classification accuracy.
Summary
Implemented a computer vision-based system in Python for accurate road lane boundary detection, crucial for autonomous vehicle navigation.