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Zeelshah0425/README.md

Hi, I'm Zeel 👋

I'm a recent Business Analytics graduate from UC Davis with an MBA in Finance. I've worked across equity research and corporate lending, analyzing financial statements, building financial models and doing credit and risk assessments across mid-market corporates and listed companies. Before moving to the US, I took up a consulting engagement with the Gujarat state government working on renewable energy policy and project monitoring across the state's active energy initiatives.

During my MSBA, I went deep on analytics through coursework and a year long practicum on customer analytics with one of the most well known Performing Arts Centers in Northern California, working closely with their Business Intelligence and Marketing teams. I am currently pursuing my CFA Level 2 in November 2026 and am actively looking for Financial Analyst roles where my finance depth and analytical toolkit both come into play. Always happy and open to a conversation.


🏦 Background

  • MS Business Analytics — UC Davis, 2025 (GPA 3.65)
  • MBA Finance — Nirma University, 2020
  • CFA Level I cleared · Level II candidate (Nov 2026)
  • Based in San Francisco, CA

🛠 What I work with

Finance DCF Valuation  ·  Credit Analysis  ·  Cash Flow Modelling  ·  Scenario Analysis  ·  Sensitivity Analysis  ·  P&L Management  ·  Equity Research  ·  Financial Modelling  ·  Credit Risk Assessment  ·  Budgeting and Forecasting  ·  Variance Analysis  ·  GAAP Fundamentals

Analytics SQL  ·  Python (pandas, NumPy, Matplotlib)  ·  Tableau  ·  Advanced Excel  ·  Google Sheets  ·  Statistical Analysis  ·  Data Visualisation  ·  Bloomberg Terminal  ·  Jupyter Lab


📂 Projects

SaaS Churn & Revenue Analysis

Found a 15x churn gap between contract types across 7,043 customers. Built a revenue sensitivity model showing churn reduction generates 3.5x more return than an equivalent price increase.

Tools: Excel · Regression Analysis · Tableau


S&P 500 Sector Performance Analysis

Analyzed 619K daily stock records across 500 companies and 11 sectors. NVDA at 1,750% five year return. Energy sector had the highest daily volatility with near zero returns, the worst risk adjusted outcome in the index.

Tools: MySQL · Window Functions · CTEs · Tableau


📬 Let's connect

Always happy to talk about roles, finance, data or anything in between.

Popular repositories Loading

  1. Saas-churn-revenue-analysis Saas-churn-revenue-analysis Public

    Churn driver analysis and revenue impact modelling across 7,043 subscription customers.

  2. sp500-sector-performance-analysis sp500-sector-performance-analysis Public

    Advanced SQL analysis of 619,041 S&P 500 trading records across 500 companies and 11 sectors: 10 queries including window functions, CTEs, and query optimization; visualized in an interactive Table…

  3. Zeelshah0425 Zeelshah0425 Public