My Projects
Quantifying Myself
A personal data analysis project exploring self-discovery through quantitative analysis of daily life patterns, habits, routines, and emotions. Using statistical analysis and data science techniques to uncover meaningful trends and correlations in personal behavioral data.
Data Science
Statistical Analysis
EDA
LaTeX
Data Analysis
Analytics
Empowering Health and Safety at Aurum Mining Corporation
A machine learning project developed for Trilytics '23 Analytics Case Study Competition by PGDBA, IIM Calcutta. Achieved 95% accuracy using Random Forest for mining incident classification. Our team advanced to the second round of the competition.
Machine Learning
Random Forest
Data Science
Analytics
Statistics
EDA
Solving Grid World Problems using MDP
Implementation of Markov Decision Process (MDP) algorithms to solve grid world navigation problems. This project explores fundamental concepts of reinforcement learning through practical application.
Reinforcement Learning
Deep Reinforcement Learning
Python
MDP