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%"
}
}
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.
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.
BI & Dashboards
Creating executive dashboard suites in Power BI and Tableau with automatic KPI alerts.
Machine Learning
Building classification models, churn warning signals, and SHAP feature explainability.
Technical Skills
Programming & Analytics
Financial Analytics
Data Visualization & BI
Machine Learning & Engineering
Professional Experience
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.
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.
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
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.
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.
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.
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.
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.
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%.
Licenses & Certifications
Forward Program Graduate
McKinsey & Company
Dec 2025
Skills: Problem Solving & Decision MakingSEBI 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!
Location
Pune, MH, India