

I'm an aspiring Data Scientist and Game Developer, passionate about solving niche challenges. Proficient in multiple programming languages, I aim to innovate solutions across both fields, merging technical expertise with creativity for impactful contributions.
Research
Scheduling
Analytics
Computational design
Machine Learning
Database management
Statistical analysis and computing
Data visualization tools
Game engine development
Analytical thinking
Student GPA Predictor
Developed a Student GPA predictor using core concepts, machine learning, and front-end development. Conducted data wrangling, transformations, and EDA on a dataset of 1600 records. Proficiency in Seaborn, Keras and various other Python Libraries as well as focus on integration of Model with with Front—end with Flask.
Fine-tuned LLM Integration in Google Cardboard Environment
I fine-tuned LLM (Large Language Models) to achieve superior performance and adaptability. Through advanced techniques, I optimize LLM parameters for heightened accuracy and efficiency. I successfully integrated the fined-tuned LLM functionality into a virtual reality environment compatible with Google Cardboard. This integration was achieved utilizing the LLMUnity Package within the Unity development platform, with all programming executed in C#.
Mental Health Survey EDA
As part of a research paper on Mental Health and AI's impact on Psychiatry, I contributed to survey analysis. Utilizing data science techniques, I conducted statistical analysis, data cleaning, and interpretation to extract meaningful insights. My role enhanced understanding of the intersection between mental health, AI, and data science methodologies.