J.P. Morgan Chase & Co. — Quantitative Research Job Simulation
2025
- Analyzed and visualized financial datasets using Python and Excel.
- Applied quantitative techniques to identify volatility and market trends.
AI & Data Analytics | Python • SQL • Machine Learning
“The future belongs to those who understand data and can make it speak.”
B.Tech Computer Science (AI & Machine Learning) student with strong foundations in Python, SQL, ETL concepts, and Machine Learning fundamentals. Hands-on experience in data preprocessing, feature engineering, exploratory data analysis, and building analytics-ready datasets for predictive modeling. Actively building skills in PySpark, Databricks, and Microsoft Azure with a strong interest in scalable, AI-driven data solutions.
2025
2025
Performed EDA using Python, Pandas, and Seaborn. Built Logistic Regression models with feature engineering and evaluation.
View ProjectAnalyzed customer data using Python, SQL, and Excel. Identified trends and high-value customer segments.
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