Welcome

About Me

A Data Analytics professional with a Master's in Business Analytics and multiple years of experience in data analysis. I excel at leveraging internal and external data to analyze product performance, identify growth opportunities, and develop reports and scorecards for senior management. With a proven ability to use SQL, Excel, and business intelligence tools, I am adept at translating complex data into actionable recommendations to drive business objectives.

Technical Proficiencies

Python R SQL Power BI Tableau MS SQL Server MySQL Firebase Advanced Excel Git & GitHub

Featured Projects

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My Circadian - Screen Shader

Lead Developer | Chrome Extension

A screen-shading extension that automatically adjusts screen color and brightness based on a user-defined schedule to support natural sleep cycles. Features customizable themes, animations, and manual overrides.

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Supbyte - Sound Booster & Equalizer

Lead Developer | Chrome Extension

Engineered and launched a browser extension on the Google Chrome Web Store. Implemented core features including volume boosting, a 5-band equalizer, and an audio compressor using vanilla JavaScript and Chrome APIs.

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TableLens - Edit, Visualize & Export Tables

Lead Developer | Chrome Extension

An advanced browser extension for exporting, live-editing, filtering, sorting, and visualizing HTML tables. Create charts directly from web data.

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Oklahoma Crime Data Analysis

Data Analyst | MySQL, Python, Power BI

Designed a normalized MySQL database and analyzed crime records to uncover trends. Developed a Random Forest model (R²=0.9597) and created Power BI dashboards to visualize key findings.

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AMEX Credit Card Default Prediction

Predictive Analytics | Python, Scikit-learn, SAS Miner

Developed credit card default prediction models for American Express using Logistic Regression, Random Forest, and Neural Networks, achieving ~92% predictive accuracy.

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Predicting Optimal Fertilizers

Kaggle Competition | Python, XGBoost, Optuna

Achieved a Kaggle score of 0.35408 by developing an ensemble of XGBoost/LightGBM models optimized with Optuna for a multi-class classification challenge.

Professional Experience

Data Analyst Consultant

Ceaspay | Feb 2025 – Present

  • Developed a multi-user web app with Firebase, improving agent efficiency by 40% with real-time data sync.
  • Engineered an admin dashboard with Chart.js to visualize KPIs, reducing the compensation cycle time by 50%.

Data Analyst

Hazon Technologies | Aug 2020 - Jul 2022

  • Developed statistical models in Python for the RISE platform to predict institutional ranking outcomes.
  • Created Power BI dashboards to visualize model outputs, helping clients identify areas for score improvement.

Insurance Agent Trainee

Shriram Life Insurance | May 2020 – Jul 2020

  • Conducted in-depth needs analysis for over 30 clients to develop tailored insurance solutions, securing 9 policy sales.

Project Coordinator

Green Gang Arts | Mar 2018 – Jan 2020

  • Coordinated timelines and resources for over 50 projects, achieving a 100% on-time delivery rate.
  • Improved operational efficiency by 10% by streamlining project data management using Excel.

Accounting Trainee

John’s Business School | Mar 2019 – Jul 2019

  • Processed and reconciled financial data, ensuring 100% compliance and accuracy in monthly journal entries and reports.

Education

Master of Science in Business Analytics

University of Central Oklahoma

Graduated Dec 2024

Bachelor of Business Administration

ICFAI Business School

Graduated May 2020

Certifications

Six Sigma Green Belt Certification – Standard & Level II

The Council for Six Sigma Certification (CSSC) | Sep 2025

Fundamentals of Agile Project Management

Project Management Institute | Sep 2025

Google Data Analytics Professional Certificate

Coursera / Google | Mar 2022