I automate data pain obsessively so teams spend less time fixing, more creating
Discover My WorkI'm a data enthusiast who enjoys turning messy, scattered information into meaningful insights that support better decisions. I’m particularly drawn to building automated solutions that reduce repetitive work and give teams more space to focus on what truly matters—strategy, creativity, and impact.
While I’ve had hands-on experience in areas like SQL analytics and early-stage machine learning, I’m still constantly learning and improving. My aim is to build end-to-end data pipelines that are not just functional, but scalable, maintainable, and quietly powerful behind the scenes.
Lately, I’ve been expanding my knowledge in cloud tools and MLOps, exploring how to design smarter, more resilient systems. I'm excited about growing in a collaborative environment where I can deepen my technical skills, stay curious, and contribute meaningfully to real-world challenges.
Built a comprehensive monitoring system to track and analyze recruiter behavior patterns using SQL queries and MySQL database. The system provides insights into recruitment efficiency and helps optimize talent marketplace operations.
Developed a machine learning-powered churn prediction system using synthetic data. Created an interactive Streamlit application that predicts customer churn with high accuracy, helping businesses proactively retain customers.
Created an intelligent Excel-based job application tracking system using VBA macros. The system automatically updates application status, generates reports, and provides insights through pivot tables without requiring external subscriptions.
Currently developing an intelligent system that automates the job application process. The system will analyze job postings, customize applications, and streamline the entire job search workflow for maximum efficiency.