Headline

Turning Messy Data into Business Clarity | Excel · SQL · Power BI · Python | Research Intern @VEDH GPT

About

Data talks — I listen, then translate. I'm a BTech IT student at DIT University with a focused ambition: bridging the gap between messy data and clear business decisions. Whether it's diagnosing a revenue drop through an Excel pivot or building a Power BI dashboard that turns weekly noise into actionable KPIs, I bring structure to complexity. Currently working as an AI & Data Analyst Intern at XYlofy AI, where I apply analytical thinking to real-world AI-driven datasets. I've supplemented this with job simulations from Tata and Deloitte Australia, where I tackled business data challenges and built stakeholder-ready visual reports. My toolkit: Excel (advanced analysis, modelling), SQL (querying, data wrangling), Power BI (dashboard design, DAX), and Python (data manipulation, automation). I'm not just learning tools — I'm learning how businesses make decisions, and how data accelerates them. What sets me apart: I think like an analyst before I open any software. I ask what business question we're solving, who the audience is, and what decision the data needs to support. 📍 Open to: Data Analyst · Business Analyst · BI Analyst internships and entry-level roles 📬 akshxtt.adi@gmail.com

Location

Noida

Work experience

Research Intern at VEDH GPT, Jun 2026 - Present · 1 mo, Remote

Data Analyst Intern at InAmigos Foundation (IAF), Jun 2026 - Present · 1 mo, India

Al & Data Analyst Intern at XYlofy AI, Apr 2026 - May 2026 · 2 mos, Bengaluru, Karnataka, India, Analysed AI-generated datasets to identify patterns and anomalies, supporting model improvement decisions and reducing manual review time. • Built structured data pipelines and performed exploratory data analysis (EDA) to surface insights for product and engineering teams. • Created visual summaries and reports translating complex analytical findings into business-readable formats for stakeholder communication. • Collaborated cross-functionally with AI engineers and product teams to align data outputs with business use cases and KPIs. • Applied Python and Excel-based workflows to clean, transform, and validate datasets, ensuring data accuracy across analytical projects.

Education

Bachelor of Technology - BTech, Information Technology, DIT University