Sahil Nayak

Programmed a novel AI model using Python to solve complex graduate-level math challenges. Recommended adjustments to problem complexity, resulting in a 15% increase in user completion rates and improved user feedback. Integrated caching mechanisms, reducing server load by 25% and enhancing platform stability.

Analyzed central bank policies and key economic indicators across major economies, improving investment strategy effectiveness. Conducted statistical analysis to enhance the accuracy of financial forecasts and developed robust forward curves using advanced methodologies.

Created a C++ program for a two-player Tic Tac Toe game, demonstrating key programming concepts such as loops, conditionals, and user input handling.

Developed a tool using K-Means clustering to optimize returns and manage risks in stock investments, emphasizing early investments for long-term financial security.

Developed a pipeline for panoramic image creation using Python, C++, and OpenCV. Achieved 85% accuracy in image alignment and reduced processing time by 30% through optimized algorithms.

Collaborated with local educators to enhance educational accessibility and motivation, fostering a supportive environment for students and promoting the long-term benefits of education.

Created a predictive model to analyze Yelp reviews using NLP techniques, achieving 90% efficiency in predicting ratings based on customer feedback, providing valuable insights for businesses.

Grade: 6.56

Activities and societies: Involved in volunteer work for rural education transformation and competitive programming on various online platforms.

Pursuing a Bachelor of Technology in Chemical Engineering with a GPA of 6.56. Courses include Object-oriented programming, Database management systems, Data Structures and Algorithms, and Operating systems.