MovieIQ is a Streamlit-based interactive dashboard that predicts movie success using data-driven insights. It combines data cleaning, visualization, statistical tests, and a Random Forest model to analyze how factors like budget, genre, and ratings influence box office performance.

IoT Fan Control System using Raspberry Pi, Flask, and PWM

The following readme file, assume that before running the Spark analytic job, you have already installed the correct versions of **Java**, **Hadoop**, **Spark** and that you are inside **Ubuntu**.

An interactive sales dashboard built with Python, designed to analyze, visualize, and provide actionable insights into sales performance. This project is a part of my journey in learning Python for data analytics.

Explainable, Excel-to-Python risk scoring model for compliance prioritization

Analysis of healthcare access disparities across California using CDC PLACES and USDA Food Access data

"Exploratory Data Analysis of Netflix Movies using Python, Pandas & Matplotlib"

End-to-End Credit Risk Analytics Dashboard using Power BI and Python (EDA, Correlation, Risk Modeling, Network Analysis)

Superstore-sales-analysis

ML‑Based Smart Canteen Management System is a Flutter and Python powered application that predicts food demand using Machine Learning to help canteens optimize food preparation and reduce waste. The system includes multi‑role access for students, faculty, canteen operators, and administrators.

E-commerce funnel drop-off analysis using Python, SQL, SQLite, and Tableau to identify conversion bottlenecks and segment-level performance across device, traffic source, and region.