Shashank Sangepu

About

I'm a results-driven Data Analyst and evolving Data Scientist with a Master of Science in Data Analytics, uniquely combining a strong foundation in corporate finance with enterprise-grade DataOps and cloud ecosystems.

My expertise spans the entire data lifecycle — from architecting robust ETL pipelines and optimising complex SQL architectures to deploying CI/CD workflows and integrating Large Language Model (LLM) applications into production environments.

I thrive at the intersection of technical data engineering and strategic business decision-making, with hands-on experience across real estate analytics, financial planning, and AI development in the USA, India, and Australia.

4+ Years Experience

4.0 M.S. GPA

3 Countries

10M+ Rows Processed

Skills

Databases & Cloud

PostgreSQL MySQL SQL Server Azure SQL Microsoft Azure AWS

Programming

Python Pandas NumPy Scikit-learn R SQL HTML / CSS JavaScript

AI & Machine Learning

Predictive Modeling LLM Integration Prompt Engineering Time Series Forecasting ARIMA Prophet

BI & Visualisation

Power BI Tableau DAX Streamlit Advanced Excel

Data Engineering

ETL Pipelines Data Modeling Schema Normalization Advanced Indexing Data Validation

Methodologies & Tools

Git / GitHub CI/CD Pipelines Docker Agile / Scrum A/B Testing Statistics

Projects

Live

S&P 500 Sentiment Analysis Dashboard

A full-stack financial intelligence platform combining real-time S&P 500 market data with AI-powered news sentiment analysis. The system ingests RSS news feeds, scores articles using the Gemini API, and presents sentiment trends alongside OHLCV price charts, fundamental metrics, and a 5-year income statement — all updated daily via an automated scheduler deployed on a cloud VPS with full CI/CD.

Python FastAPI PostgreSQL React Docker Gemini AI GitHub Actions Nginx

Live Demo → GitHub

Experience

Data Analyst

AI Labs Web LLC

Apr 2026 – Present USA

Build automated Python ETL pipelines (Pandas, NumPy) to orchestrate continuous data ingestion for AI development initiatives.
Integrate Gemini API to parse and structure raw text data, accelerating feature engineering for NLP applications.
Design Power BI dashboards to monitor real-time pipeline health and proactively flag data anomalies before they impact model training.

Peer Tutor — Data Analytics

Walsh College

Jan 2026 – Present Troy, MI

Support graduate students in SQL, Python, Power BI, relational database design, and LLM integration with the Gemini API.
Guide capstone projects involving statistical testing, power analysis, and longitudinal datasets exceeding 10M records.

Business Intelligence Analyst

Near Estate

Jun 2023 – Aug 2025 Hyderabad, India

Architected end-to-end ETL pipelines into a centralised PostgreSQL data warehouse, improving query performance by 40% through advanced indexing and schema normalisation.
Developed ML models (regression, clustering) to forecast property valuations, contributing to a 5% increase in profit margins.
Built executive Power BI dashboards tracking development KPIs and monitoring a Rs. 20 Cr operational budget.
Engineered a Streamlit + LLM internal tool to auto-summarise property inspection reports, significantly reducing manual review time.

Assistant Finance Manager

Near Estate

Jul 2022 – Jun 2023 Hyderabad, India

Used Python time series forecasting (ARIMA, Prophet) to model revenue trajectories, helping secure Rs. 10 Cr in additional funding.
Automated FP&A workflows by migrating manual Excel processes to dynamic data pipelines, reducing month-end reporting turnaround by 15+ hours.
Transitioned static monthly summaries to interactive self-service Tableau dashboards for department heads.

Financial Planning Associate

Apex Financial Planning

Jan 2022 – May 2022 Gold Coast, Australia

Analysed financial datasets using R to identify high-yield investment opportunities and assess historical portfolio volatility.
Assisted in developing Monte Carlo simulations to stress-test client portfolios against economic downturn scenarios.
Automated daily market data extraction from third-party financial APIs to feed internal reporting environments.

Data Analyst & Data Scientist