Welcome to my page!

I am a Data Engineer with expertise in building end-to-end data solutions, from ETL pipelines to interactive visualizations and predictive Machine Learning models. With a background in Computer Science and Data Engineering, I combine technical expertise with analytical problem-solving.

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    About Me Learn more about my skills, expertise, and interests.
    Projects Discover detailed examples of my work and accomplishments.
WoW DataHub ☞ Game Management Dashboard & Analytics Platform

WoW DataHub ☞ Game Management Dashboard & Analytics Platform

A comprehensive database solution for MMORPG character data management, featuring:

  • Normalized relational database with optimized schema design
  • Robust ETL pipeline for automated data ingestion and transformation
  • Secure JAVA-based data access layer with SQL injection prevention
  • Complex analytics engine for multi-dimensional game statistics
  • Interactive web dashboard for stakeholder insights
Clustering Analysis and 3D Visualization Dashboard

Clustering Analysis and 3D Visualization Dashboard

A dashboard for analyzing datasets by using K-means and Hierarchical clustering algorithms. This tool helps determine the optimal number of clusters and provides detailed 3d visualizations and comparisons of clustering results.

🎯Click here and Try it out
(plz get it back up and wait it waking up for a moment)

Co-Creator ☞ AI-Powered Video Creation Assistant

Co-Creator ☞ AI-Powered Video Creation Assistant

An end-to-end data pipeline system that ingests and processes YouTube API data to identify high-performing content patterns. Built NLP-based transformation workflows to analyze script engagement signals and a metadata analytics engine to surface optimization opportunities. Integrated Google Gemini AI and Streamlit to deliver real-time content recommendations including titles, descriptions, and hashtags — translating complex data insights into actionable creator guidance.

🎯Click here and Try it out
(plz get it back up and wait it waking up for a moment)

Type 2 Diabetes Risk Prediction Model

Type 2 Diabetes Risk Prediction Model

This project develops machine learning models to predict diabetes status and identify key risk factors using survey data from the CDC’s Behavioral Risk Factor Surveillance System (BRFSS) 2022 dataset, containing 445,132 participants across 328 variables.

Fraud Detection by Machine Learning

Fraud Detection by Machine Learning

A comprehensive machine learning pipeline for detecting fraudulent transactions with 99% accuracy. This project tackles extreme class imbalance using advanced techniques including SMOTE, ensemble methods, and automated hyperparameter optimization to protect financial systems in real-time.


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