Headline

Data Analyst in Progress 🚀 | Python, SQL, Power BI & ML | Passionate About Solving Real-World Problems with Data

About

I turn raw, messy data into dashboards and insights that actually help people make decisions. As a Data Analytics postgraduate with hands-on experience in Python, SQL, Power BI, and Excel, I've built end-to-end analytics projects — from cleaning 7,000+ row customer datasets to designing interactive Power BI dashboards with DAX, KPIs, drill-throughs, and AI-powered Q&A. What I bring to the table: → Data cleaning & transformation using Pandas and NumPy → Exploratory data analysis (EDA) to find patterns that matter → Power BI dashboards that non-technical stakeholders can actually use → SQL querying, data modeling, and KPI tracking → Basic machine learning — churn prediction, classification models Beyond the tools, I presented a research paper on Distributed Ledger Technology at a national conference — which taught me how to communicate complex data stories to a room full of people who don't speak Python. I'm actively looking for a Data Analyst or Junior BI Analyst role where I can contribute from day one and grow fast. Let's connect if you're hiring, mentoring, or just talking data.

Location

Bengaluru

AI stack

antigravity

claude

deepseek

gemini

lovable

openai

Work experience

Manual QA at SUN TECHNOLOGY INTEGRATORS PRIVATE LIMITED, May 2026 - Jul 2026 · 2 mo, Bangalore

Advanced Python Intern at NXTLogic Solutions, May 2025 - Jun 2025 · 2 mos, Coimbatore, Advanced Python Intern | NXTLogic Solutions May 2025 – Jun 2025 · Coimbatore, India → Cleaned and transformed 3+ real-world structured datasets using Pandas and NumPy, improving data quality for downstream analysis and reporting. → Built data visualizations (bar, line, scatter, heatmap) using Matplotlib to communicate analytical findings to stakeholders. → Conducted EDA on business datasets — identified key trends, outliers, and missing value patterns that informed project decisions. → Wrote modular, PEP 8-compliant Python code with documentation, improving reusability across team projects. → Gained hands-on exposure to end-to-end data pipelines: ingestion → transformation → output delivery. Skills used: Python · Pandas · NumPy · Matplotlib · EDA · Data Cleaning

Education

Master of Science - MS, Computer Science with Data Analytics, Dr.N.G.P. Arts and Science College

Bachelor of Science, Computer Science, Dr.N.G.P. Arts and Science College