Projects
Pubg Win Prediction
Description: Built a predictive model using CatBoost to estimate win percentages based on historical data and key performance indicators.
Technologies Used: Python, CatBoost, Pandas, NumPy, Scikit-Learn. Impact: Achieved high prediction accuracy, providing valuable insights into performance trends and improving decision- making strategies.
Phobia Management App
Description: Developed a mobile application designed to help users manage phobias by tracking mood, exposure attempts, and physical symptoms. Integrated machine learning models for classification and regression to predict phobia severity and track progress.
Technologies Used: Flutter, Python, Random Forest, Linear Regression, SQLite, Flask. Impact: Enabled users to monitor their progress weekly and receive personalized insights for phobia management. Skills
Pandas, Python, Machine Learning, Data Visualization, SQL Education & Certifications
Hackerrrank
SQL(basic)
Completed
Geeks For Geeks
Data Science And Machine Learning
Ongoing
GHRCE Nagpur,Maharashtra
Computer Science Engineering 06/2025
CGPA - 8.52
Acheivements
Reached final stage of SIH hackathon 2023
Om Ojha
942******* ********@*****.*** Nagpur,Maharashtra