B.Tech Computer Science (Data Science) — Manipal University Jaipur (2023–2027)
Focused on Data Science, Machine Learning & Data Quality Engineering
Patent Application Published
2024 – PresentBuilt a rule-based chess simulation engine implementing 17+ move and game rules to validate moves and control gameplay logic in an automated chessboard system.
Analyzed 250K e-commerce transactions to identify impulse buying patterns using a Decision Tree Classifier achieving 89.2% accuracy. Engineered 10+ features and built interactive dashboards to communicate customer spending behaviour across 4 buyer segments.
Statistical monitoring system using the Kolmogorov-Smirnov test to detect distribution shifts across 11 features on a 150K-record credit risk dataset. Includes an interactive Streamlit dashboard with KDE visualizations and a composite data reliability scoring engine.
EDA and regression modeling on 2.1M+ Spotify tracks to predict popularity from 14 audio features. Compared Linear Regression, Decision Tree, and Random Forest, then optimized via RandomizedSearchCV hyperparameter tuning.
XGBoost classifier trained on 6.36M+ transactions to detect fraudulent payments. Addressed extreme class imbalance (99.87% non-fraud vs 0.13% fraud) using SMOTE, creating a balanced training set of 5M+ samples per class.
Pure SQL fraud pattern detection on 1.2M banking transactions using window functions, rolling 7-day averages, and CASE-based anomaly flagging. Surfaces HIGH RISK transactions missed by binary fraud labels, complementing ML-based detection at the query layer.
Comprehensive EDA on 55,500 patient admissions (2019–2024) across 6 medical conditions. Built a Random Forest model for length-of-stay prediction, identifying Billing Amount (0.47) and Age (0.22) as the strongest predictive features.
Classification on the PIMA diabetes dataset using 8 clinical features (Glucose, BMI, Age, etc.). Compared Logistic Regression, SVM, and KNN with Grid Search tuning. Preprocessing included median imputation for invalid zeros and StandardScaler normalization.
Deloitte
Jan 2026NPTEL
Oct 2024Google • Coursera
Aug 2024