Jinay Jain

• Data Science and Business Analytics graduate with a Bachelor’s degree. Proven ability to analyze complex datasets and deliver actionable insights. Committed to leveraging analytical skills in a dynamic environment to drive data-informed decision-making.
• Aiming to leverage analytical skills to enhance organizational growth and drive innovation within a dynamic company.
• Detail-oriented professional with strong time management and organizational skills, seeking entry-level opportunities to contribute effectively to team success. Proven ability to adapt in diverse environments while delivering consistent results. Committed to continuous learning and growth within a dynamic organization.

● Python Programming Course | MyCaptain, June 2024

○ Projects: Web scraping, School Administration program, e-commerce website.

● Stock Market Trading Workshop | MyCaptain, August 2024

Acquired trading strategies and analysis techniques.

• Sports Captain, Christ Church School, 2019–2020
• Exhibited strong leadership and organizational abilities while overseeing sports activities.
• Secured over 50 medals across diverse sports and athletic competitions.
• Achieved 2nd rank in overall academics for grade 10.

• Tableau and Power BI Dashboards: Developed comprehensive dashboards from multiple datasets to visualize complex data.
• Heart Disease Risk Detection: Predictive model for clinical data analysis to assess heart disease risk.
• Breast Cancer Detection: CNN and SVM-based detection models for classifying breast cancer images.
• Crime Classification Model: Advanced ML model for categorizing crime types based on input data.
• Stock Price Prediction and Time Series Forecasting: Developed models using Linear Regression, Random Forest, SVR, XGBoost, LSTM, ARIMA, SARIMAX, Auto ARIMA, and Exponential Smoothing for predicting stock/index prices and financial data forecasting. Integrated technical indicators like SMA, EMA, RSI, and Bollinger Bands, with ACF/PACF plots and interactive dashboards for enhanced analysis and decision-making.
• Interactive Portfolio Optimization and Analysis Tool: Developed a Streamlit-based interactive web application for portfolio analysis and optimization. Integrated financial data fetching, risk metrics (VaR, CVaR), Monte Carlo simulations, and asset clustering. Visualized efficient frontiers, Sharpe ratios, and portfolio allocations with Plotly. Designed features for customizable user-defined portfolios and real-time insights.