Shourya Tomar

Background

About Shourya Tomar

Hi, I’m Shourya Tomar, a detail-oriented Financial & Quantitative Analyst with a passion for uncovering insights at the intersection of finance, data, and technology. With a Master’s in Quantitative Finance from Northeastern University (Dec 2024), and prior hands-on experience in financial analysis, forecasting, and data-driven strategy at firms like Volvo Group and Rajshree Engineering, I specialize in solving complex financial challenges using advanced analytics. I bring a hybrid skillset in: Financial Modeling & Analysis (DCF, P&L, Ratio Analysis, Sensitivity Analysis) Data Science & Machine Learning (Python, Scikit-learn, Random Forests, PCA) Quantitative Research (Fama-French, Heston Model, ARIMA Forecasting) Tools & Technologies: SQL, Tableau, Excel (VBA/Macros), Bloomberg Terminal, MATLAB My recent work includes: Building a credit risk logit model with PD estimation and ROC-AUC validation Creating an optimized equity portfolio using machine learning and Markowitz theory Forecasting natural gas prices for JPMorgan’s virtual internship using ARIMA I thrive in collaborative environments where strategic thinking and analytical rigor drive innovation. Whether it's modeling investment returns, streamlining financial operations, or building dashboards that speak volumes—I aim to transform data into meaningful business value. Let’s connect if you’re interested in quantitative research, fintech innovation, or business analytics roles in finance or tech.