Aspiring Data Analyst with a strong foundation in Python, SQL, Power BI, and Exploratory Data Analysis (EDA), seeking to apply analytical and problem-solving skills to derive meaningful insights from data and contribute to organizational growth.
Repsoft Consultancy
May 2025 – Jun 2025
Developed responsive web applications using React.js; used ChatGPT and GitHub Copilot to improve development speed and code quality; implemented React Hooks, state management, and REST APIs.
B.Tech, Information Technology
2022–2026
CGPA: 7.52
Intermediate
2022
78.2%
ICSE
2020
65%
Designed a relational banking database with primary and foreign keys; analyzed customer behavior, credit/debit trends, spending categories, and branch-level transaction patterns using SQL, including JOINs, GROUP BY, HAVING, aggregate functions, filtering, sorting, and subqueries.
Developed a deep learning model to detect fraudulent UPI transactions using CNN and LSTM; performed data preprocessing, feature scaling, and EDA; evaluated performance using Accuracy, Precision, Recall, F1-Score, and ROC-AUC. Technologies included Python, Pandas, NumPy, Scikit-learn, TensorFlow/Keras, Matplotlib, CNN, and LSTM.