Finance Risk Intelligence is an end-to-end machine learning project for financial risk analysis that automates data cleaning, feature engineering, model training, and interactive risk visualization…

Machine Learning-powered Demand Forecasting and Inventory Optimization system using XGBoost, Streamlit, and MLflow. Forecasts future demand, calculates safety stock and reorder points, and provides…

IMF World Economic Outlook (WEO) Data Analysis using Python, EDA, Data Visualization, and Power BI.

Advanced Exoplanet Intelligence Dashboard built with Streamlit, Pandas, and Plotly for interactive planetary analytics and visualization.

End-to-end Data Science and Machine Learning project for global air quality analysis, AQI prediction, visualization, and interactive Streamlit dashboard development.

Built a complete data science project on 119,000+ real e-commerce orders — covering data cleaning, exploratory analysis, machine learning models for price prediction and review classification, cust…

Built a Machine Learning project to predict heart disease using patient health data. Includes data preprocessing, feature engineering, model training, evaluation, visualizations, and an interactive…

Built an end-to-end NLP project that detects emotions from text — joy, sadness, anger, fear, love, and surprise. Covers the full pipeline: data cleaning, TF-IDF feature engineering, training multip…

K-Pop Concert Analysis, Revenue Insights & Demand Prediction using Machine Learning, Streamlit and Power BI

This project analyzes mental health survey data to understand how work and lifestyle factors affect mental health, and presents the insights using a Power BI dashboard and a prediction model

Retail sales data analysis project using Python, EDA, Visualization and Power BI Dashboard.

This project analyzes the risk of job automation due to AI using data analysis and machine learning models. It also includes interactive dashboards and a web application for real-time predictions.

I analyzed what makes Korean dramas popular, looking at ratings, genres, and production networks. Used Python and Power BI to find and show the main trends.

Predict future sales revenue from historical data using Python, pandas, and machine learning models.

The Smart Loan Recovery System is an all-in-one solution created to make the loan recovery process easier and more efficient. It uses data analysis, predictive tools, dashboards, and database manag…

Machine Learning model to detect language from text using NLP techniques.

This dataset contains detailed coffee sales transactions across multiple store locations, including product details, quantities, prices, revenues, and timestamps. It enables comprehensive analysis …

This project focuses on Quarterly Revenue Forecasting across three media platforms.

Content ROI and Genre Profitability is a data analytics project focused on evaluating content performance across different Genres and Platforms using financial and engagement metrics

An end-to-end data analytics and forecasting project analyzing YouTube series performance, audience retention, engagement trends, and geographic distribution to predict future growth and optimize c…

An interactive sales analytics dashboard built using Excel data to analyze revenue performance, customer behavior, product trends, and regional sales insights.

An interactive data analytics dashboard built to analyze content distribution, ratings, genres, and trends on Prime Video.

A Chocolates Sales Dashboard built entirely using Python, focusing on data analysis and visual storytelling.