Financial Data Analyst

Hi, I'm Sai Sanjay

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A jack of all trades is a master of none, but oftentimes better than a master of one.

import numpy as np
from sklearn.cluster import KMeans

# Cluster returns & volatilities
data = np.column_stack((ret, vol))
model = KMeans(n_clusters=3, n_init=10)
regimes = model.fit_predict(data)

print("Regimes:", set(regimes))
WITH stock_stats AS (
  SELECT ticker, date, close,
  AVG(close) OVER(PARTITION BY ticker
      ORDER BY date ROWS 50 PRECEDING) AS ma_50
  FROM market_ticks
)
SELECT ticker, close, ma_50,
(close - ma_50) / ma_50 AS momentum
FROM stock_stats;
{
  "portfolio": "QuadraForge Alpha",
  "risk_segment": "Moderate-High",
  "backtest_stocks": 100,
  "metrics": {
    "sharpe_ratio": 1.82,
    "max_drawdown": "-14.2%"
  }
}
ROC-AUC Accuracy 0.85 Churn Model

About Me

I work at the intersection of finance, data engineering, and analytics.

I focus on building data systems that process, structure, and analyze financial data to support decision-making. Whether it is designing robust ETL workflows, coding volatility models, or generating dashboard reporting pipelines, I specialize in transforming raw financial records into strategic insights.

Currently based in Pune, MH, India, I am actively exploring opportunities in Financial Data Engineering, Data Analytics, and Investment Research.

Need my full CV?
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Financial Analytics

Portfolio metrics, volatility tracking, market regime classification, and asset valuation models.

ETL & Engineering

Ingesting and cleaning stock ticks, creating warehouse schemas, and automating database triggers.

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BI & Dashboards

Creating executive dashboard suites in Power BI and Tableau with automatic KPI alerts.

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Machine Learning

Building classification models, churn warning signals, and SHAP feature explainability.

Technical Skills

Programming & Analytics

Python (Pandas, NumPy, Scikit-learn) SQL (PostgreSQL) CTEs & Window Functions Advanced Excel

Financial Analytics

Portfolio Analysis Risk Assessment Market Data Analysis Time-Series & Volatility Analysis KPI Tracking

Data Visualization & BI

Power BI Tableau Dashboard Architecture Exploratory Data Analysis (EDA)

Machine Learning & Engineering

Classification & Regression SHAP Explainability ETL & Data Warehousing Git / GitHub Streamlit

Professional Experience

Dec 2025 — Present
Founder & Builder

Founder & Lead Builder

QuadraForge Finance

  • Built an education-focused financial literacy platform with interactive tools and user-focused learning flows to help people understand money through clarity and self-driven learning.
  • Shifted the learning ecosystem from instructor-led coaching to a platform-based system, enabling users to explore financial concepts independently.
  • Analyzed user engagement and tool usage patterns to optimize information delivery and improve learning retention.
  • Added budget models and interactive calculators to simplify complex corporate finance planning and personal budgeting topics.
Mar 2026 — May 2026
Internship

Data Analyst Intern

Unified Mentor

  • Built automated Python + SQL analytics workflows for structured data processing, KPI reporting, and business decision support.
  • Performed data cleaning, transformation, and validation using Pandas, NumPy, and PostgreSQL, improving data consistency and reducing manual reporting effort.
  • Developed interactive Power BI and Tableau dashboards for KPI monitoring, trend analysis, and executive reporting.
Jul 2025 — Sep 2025
Internship

Research Analyst Intern

Savvy Merit

  • Conducted financial analysis of 30+ equities using earnings data, corporate actions, and macroeconomic indicators to evaluate valuation trends and portfolio risk exposure.
  • Automated financial data processing workflows using Python, reducing manual analysis effort by 40% and improving reporting efficiency.
  • Produced structured investment research reports highlighting sector trends, valuation signals, and key portfolio risk factors.

Featured Projects

📈 Dec 2025 - Present

QuadraForge Finance

An education-focused financial literacy initiative designed to help users explore money, budgeting, and investment concepts independently through interactive tools.

  • Built an interactive literacy portal with learning guides and calculators.
  • Analyzed visitor engagement rates to optimize information discovery flows.
  • Emphasized simplified money principles rather than sales-driven narratives.
Web Development Wix Website Builder UX Analytics
🤖 Mar 2026 - Apr 2026

Market Analytics & Regime Detection

An advanced stock analytics platform leveraging ML clustering to classify risk environments and track indicators.

  • Real-time stock analysis and charts (Candlesticks, EMAs, RSI) via Yahoo Finance API.
  • Implemented KMeans clustering on assets' return & volatility metrics to detect regimes.
  • Engineered custom scores assessing stock margins, PE multiples, and ROE ratios.
Python KMeans yFinance Streamlit
🛡️ Feb 2026 - Apr 2026

Bank Customer Churn Predictor

End-to-end customer churn forecasting application to identify customer flight risks and target retention.

  • Developed Random Forest model achieving a 0.85 ROC-AUC score.
  • Created custom risk segments (Low, Medium, High) for over 1,000 customers.
  • Applied SHAP explanation model to analyze feature weights and prevent blind spots.
Scikit-Learn SHAP Streamlit Python
📞 Feb 2025

TalkTrack: Call Center Ops Warehouse

A multi-channel customer operations data warehouse for sentiment modeling and operational optimization.

  • Modeled star schema structure tracking chat, calls, emails, and website events.
  • Executed ETL pipelines converting transactional tables into structured data.
  • Created sentiment tracking and response rate dashboards in Power BI.
Power BI ETL SQL Server Data Modeling
💼 Dec 2025

FP&A Budgeting & Forecasting

A corporate forecasting and driver-based P&L stress testing dashboard inspired by a TCS case study.

  • Created driver inputs for dynamic operating leverage and tax scenario changes.
  • Mapped variance calculations comparing forecast targets to static annual budgets.
  • Automated dynamic recalculation when editing core growth variables.
Financial Modeling Scenario Analysis Excel
📊 Dec 2025

Stock Market Analytics (Tableau)

An interactive price tracking tool showing moving averages, volume growth, and trend indicators.

  • Engineered 50-day and 200-day moving average metrics using Python.
  • Built filter options analyzing volatility breakouts on multiple tickers.
  • Reduced visual data-gathering time by over 25%.
Tableau Python ETL Data Visualization

Licenses & Certifications

Forward Program Graduate

McKinsey & Company

Dec 2025

Skills: Problem Solving & Decision Making

Data Analyst Professional

IBM

Feb 2026

View

SEBI Investor Certification

National Institute of Securities Markets (NISM)

Copilot Studio Specialist

Microsoft

AWS Cloud Practitioner CLF

Udemy

AI Fundamentals

IBM

Get In Touch

I am seeking positions as a Financial Data Analyst, Risk Specialist, or Data Engineer Intern. Drop me a line if you have an opening, want to discuss market models, or discuss QuadraForge Finance!

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Location

Pune, MH, India

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