A stateful, cost-aware data ingestion system built on top of the BatchData API using Google Apps Script — engineered to solve the operational problems behind real-world data pipelines, not just fetch data.

Backend system for a tattoo studio booking and inbox management platform. Handles appointment scheduling, client communication, and studio workflow management through a RESTful API architecture.

Event-driven email automation system for an eCommerce business, solving the critical challenge of inbox deliverability — ensuring transactional and marketing emails bypass spam filters and reach customers reliably.

Beginner-friendly Jupyter Notebook demonstrating practical data import techniques in Python — reading flat files, CSV, and structured formats using built-in methods and pandas.

Exploratory data analysis on a real Los Angeles crime dataset. Covers data cleaning, statistical visualization, and extraction of actionable insights into crime trends and patterns.

Comprehensive analysis and forecasting project for silver prices using Yahoo Finance API historical data. Includes EDA, visualization, and a 3-month forward price prediction model.

ML-powered web app built with Streamlit to predict survival likelihood based on age, gender, and socio-economic status — demonstrating end-to-end ML model integration into a web interface.

Exploration of categorical data handling in Python — covering One-Hot, Label, and Ordinal encoding techniques, missing value strategies, memory optimization, and visualization best practices.

End-to-end ML project performing customer segmentation using KMeans clustering, with an interactive Streamlit dashboard for real-time segment analysis and business insight extraction.