vasu sharma

I’m a Data Analyst with hands-on experience analyzing large datasets, detecting fraud patterns, and translating raw data into actionable dashboards and reports. I’m comfortable working across the full pipeline—from data preparation to clear, business-ready insights.

My foundation comes from a B.Tech in Computer Science with a specialization in Artificial Intelligence and Machine Learning, supported by coursework in Machine Learning and statistics. I focus on analytical problem solving using strong fundamentals in data structures and statistics.

Through internships, I’ve delivered measurable impact: as a Full Stack Developer Intern, I optimized website performance to reduce load times by 30% and improve user experience. As an ML Engineer Intern, I built an ML-powered fraud detection model reaching 91% accuracy and authored a research paper on Python UDFs to improve code reusability.

I bring curiosity and execution to every project—like my fraud-detection hackathon work using Python, Pandas, NumPy, Seaborn, SQL, and Flask, where I identified anomalies and visualized trends. I’ve also contributed academically via a published book chapter and reinforced my craft through wins, certifications, and 200+ LeetCode problem-solving practice.