Data analyst turning messy datasets into decisions that matter. 5 projects, 3 live dashboards, and firm believer that the best insights come after midnight.
I'm a Computer Science graduate student at NC State University, building a specialization in data analytics and machine learning. I find genuine joy in the moment when a messy dataset finally tells a coherent story — whether that's uncovering a $14.87B budget anomaly in government data or spotting that Jasprit Bumrah's economy rate is quietly exceptional.
I've always believed the best skill you can have is knowing how to learn fast. New tool, new domain, new challenge — I don't wait to feel ready, I just start. Adaptable by nature, relentless by choice.
Analyzed roughly 100K orders from Olist's Brazilian marketplace (2016 to 2018), answering five real business questions with multi-table SQL joins across a 9-table relational schema. Every finding ends in a specific, testable recommendation, not just a chart.
Cleaned and transformed 205,000+ rows of North Carolina government expenditure data, then built an interactive Tableau dashboard surfacing spending trends and budget variances across 32 state agencies.
End-to-end Excel → Python → Tableau workflow analyzing the 2025 IPL season. Surfaced player performance KPIs, team batting/bowling trends, and statistical anomalies across 264 players and 10 franchises.
Full-stack platform using AI-driven semantic search to help users find menu items based on dietary preferences and allergen restrictions. Built the React/TailwindCSS frontend on a 4-person team.
An end-to-end teardown of Yelp's local-discovery experience from an international student's perspective, identifying where the product breaks down and what to do about it.
I pick my courses on purpose. Statistical Models for System Analytics keeps my math sharp, so I understand why a model behaves the way it does and not just that it works. Trustworthy AI got me thinking about whether a model is fair and whether it should even ship, not only whether it's accurate. And Intro to Product Development pulled me out of the notebook and into how data actually turns into something people use. These weren't random electives. They're the space I want to work in: turning analysis into decisions, as a data analyst or product analyst.
M.S. Computer Science · Raleigh, NC
Statistical Models for System Analytics · Trustworthy AI · Intro to Product Development · Automated Learning & Data Analysis
Graduate StudentB.Tech Computer Science · GPA: 8.43/10.0 · Vijayawada, India
Data Structures · Data Warehousing · Web Development
GraduatedI'm actively looking for Fall 2026 internships across data analytics, business intelligence, and product analytics. If you're working on something interesting — or just want to talk data, cricket, or Studio Ghibli — I'm here.