I'm Hari Prasath M, a Data Analyst fresher skilled in Excel, SQL, and Power BI. I clean, explore, and visualize data to uncover insights — and I build machine learning models that turn those insights into real solutions.
I'm currently pursuing my M.Sc. in Data Science at The American College, Madurai, building on a B.Sc. in Computer Science from the same institution. Along the way, I've developed a genuine interest in how data — messy, incomplete, and scattered as it often is — can be shaped into something that helps people make better decisions.
During my internship as a Machine Learning Intern at Dot Com Infoway Pvt. Ltd., I got my first real taste of building models that solve actual problems, not just textbook exercises. That experience sharpened my focus: I want to grow into a Data Analyst / Data Scientist role where I can combine statistical thinking, machine learning, and clear communication to help teams act on evidence rather than guesswork.
What keeps me coming back to this field is the problem-solving — the moment a messy dataset turns into a clean pattern, and that pattern turns into an answer someone can actually use.
A practical toolkit spanning querying, statistical modeling, and visual storytelling.
Two projects where I turned data and algorithms into systems people can actually use.
A personalized product recommendation engine that analyzes customer behavior using collaborative filtering and content-based techniques, then suggests relevant products in real time.
A diet recommendation system that uses the Naive Bayes algorithm on user health data — including BMI and dietary needs — to generate tailored meal plans.
Open to Data Analyst / Data Scientist roles and internships. Reach out — I usually reply within a day.