Headline

Data Analyst | Python · SQL · Power BI · Tableau | 4 Real-World Projects | B.Tech CSE 2026 | Open to Analyst Roles | Open to Relocate

About

Data doesn't lie — but most people don't know how to listen to it. I'm Atul Gupta, a final-year B.Tech Computer Science student (NIMS University, 2026) specialising in Data Analytics. I turn messy, complex datasets into clear decisions that businesses can act on. In the past year, I've: → Analysed 20,000+ sales transactions and built Power BI dashboards that improved KPI visibility for stakeholders → Predicted business profit with ~85–90% accuracy using regression models in Python → Cleaned and validated 8,000+ records, reducing data inconsistencies by 30% → Built a Netflix content analysis across 5,000+ titles, improving trend interpretation speed by ~40% My toolkit: Python (Pandas, NumPy) · SQL (Joins, Window Functions, Aggregations) · Power BI (DAX, Star Schema) · Tableau · Excel · Machine Learning basics (Regression, Classification, K-Means Clustering) I'm certified in Data Science (Internshala), Data Visualization with Tableau (Internshala), Data Analytics with Python (NPTEL) — and I treat every dataset like a puzzle worth solving properly. What drives me: I'm not interested in surface-level dashboards. I want to understand the "why" behind the numbers — and translate that into something a decision-maker can use in a Monday morning meeting. Currently: Completing my B.Tech (June 2026) and actively looking for entry-level Data Analyst or Junior Data Scientist roles where I can contribute from day one. Open to: Full-time roles · Internships leading to PPO · Hybrid or remote across India 📩 atulguptavishu@gmail.com · Let's connect if you're hiring for data roles!

Location

Patna

Work experience

Data Analyst at Gravitasss, Feb 2026 - Present · 6 mos, Delhi, India, - Standardised and restructured datasets of 5,000–15,000 rows using Python (Pandas), reducing data inconsistencies and enabling reliable downstream analysis - Conducted EDA across business datasets, surfacing 3–5 actionable trends per project that supported stakeholder reporting and faster decision cycles - Designed and delivered interactive Power BI dashboards tracking key business KPIs, reducing manual reporting effort by an estimated 3–4 hours per week - Optimised SQL queries using window functions and joins to extract structured insights from relational databases efficiently

Data Science Intern at Exposys Data Labs, May 2025 - Jun 2025 · 2 mos, Bengaluru, Karnataka, India, - Cleaned and validated 8,000+ records using Python (Pandas), reducing data inconsistencies by 30% - Performed pattern analysis across 5+ variables, producing findings that improved dataset interpretability for stakeholders - Developed 10+ visualisations using Matplotlib and Seaborn to communicate analytical results to non-technical audiences - Delivered a structured analytical report summarising methodology, key findings, and recommendations to the internship review panel

Education

Bachelor of Technology - BTech, Computer Science, Nims university