My Story

My journey into data science began with a curiosity about how information can reveal patterns, shape decisions, and inspire innovation. With a background in Computer Science, I discovered the power of combining analytical thinking and creativity to transform raw data into meaningful insights. Over the years, I’ve built skills across Python, SQL, Machine Learning, and AI-driven analytics — developing models, dashboards, and intelligent solutions that bring clarity to complexity. I’m passionate about using data to solve real-world problems, empower people, and make technology more human-centered. Every project I take on is an opportunity to learn, experiment, and create something that has lasting impact.

My Toolkit

I’m skilled in Python, SQL, Tableau, and Machine Learning, with hands-on experience in data cleaning, exploratory data analysis (EDA), data modeling, and dashboard development. I specialize in transforming raw, complex data into clear, actionable insights through analytical thinking and creative problem-solving. My work combines technical precision with a human-centered approach — using AI, visualization, and data storytelling to drive smarter, more meaningful decisions.

Beyond the Data

Outside of my work in data and AI, I love exploring the world — whether through traveling, trying new cuisines, or discovering local culture. I enjoy cooking, biking, and continuously connecting with people to understand different perspectives and stories. Volunteering for charity organizations keeps me grounded and reminds me why I value community, empathy, and impact. For me, learning isn’t limited to code or models — it’s about engaging with life, staying curious, and finding inspiration in everyday experiences.

Recent Works

Artificial Intelligence: Ask Your PDFs

An interactive Q&A application that allows you to ask questions about your PDF documents and get answers based on their content.

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Data Science: Fraud Detection Using Machine Learning

The goal of this project was to build a reliable classification model that can distinguish between fraudulent and legitimate transactions.

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Artificial Intelligence: MCP Chart Deployment

A self-hosted chart generation system that enables AI assistants to create visualizations locally without external API dependencies.

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Data Analytics: Coffee Production & Weather Impact Analysis

This project explores the relationship between weather conditions and coffee productivity using real-world agricultural data.

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