I'm Data Science Aspirant and Analytical Problem Solver
I specialise in turning data into actionable insights through data analysis, visualisation, and machine learning to solve real-world problems.
To uncover Pattern, trends and deliver value through data storytelling. My work sits at the intersection of curiosity and technology.
I build hands-on projects in finance, e-commerce, and food tech, applying techniques from EDA and feature engineering to model tuning and deployment. I thrive on problem-solving and aim to contribute to data-driven teams focused on innovation.
Projects
In a comprehensive fraud detection project, I developed a robust pipeline to identify fraudulent financial activities using a large transactional dataset.
The Zomato exploratory data analysis aims to assist food enthusiasts in discovering the best restaurants and value-for-money options within their locality.
Analysed historical team performance in past tournaments by taking key metrics such as goals scored/conceded, top-six finishes, qualifications, and best positions achieved. The goal is to derive actionable insights that can inform future tournament strategies and team evaluations.
I have approached this credit score classification project systematically to build an intelligent system that accurately target customers into Poor, Standard, or Good credit score brackets. The project would take the company's extensive dataset containing comprehensive customer and credit-related information with multiple attributes.
