Headline

Data Analyst | SQL · Python · Power BI · LangChain · RAG Systems | ML + Gen AI Pipelines

About

While most analysts are still cleaning spreadsheets manually, I built an automated data validation framework at Celebal Technologies that cut manual processing effort by 40% — across structured datasets of 50,000+ records. I work at the intersection of data analysis, machine learning, and business intelligence. My toolkit: Python (Pandas, NumPy, Scikit-learn), advanced SQL (CTEs, window functions, analytical queries), Power BI, and end-to-end data pipeline design. I've built systems that don't just surface numbers; they drive decisions. At Celebal Technologies, I delivered Power BI dashboards tracking 10+ KPIs that improved reporting efficiency by 25%, ran exploratory data analysis and hypothesis testing on customer behaviour datasets, and collaborated in Agile sprints with cross-functional teams to hit every delivery deadline. Beyond my internship, I've shipped independent projects that push further: an ML pipeline for employee attrition prediction, H1B SQL analytics, pneumonia detection using MobileNetV2 transfer learning, and a RAG system built with LangChain. These aren't academic exercises; they're production-minded systems with version control, modular architecture, and reproducible workflows. What makes me different: I think like an engineer and communicate like a business analyst. I translate complex model outputs into clear, actionable data visualisation and reporting that stakeholders actually use. I'm equally comfortable writing a window function to find revenue anomalies and explaining the finding to a non-technical client. I'm particularly drawn to roles where data cleaning, feature engineering, and predictive analytics feed into real operational decisions — especially in AI-forward companies building agentic workflows. Open to full-time data analyst roles in India and remote. Feel free to message me.

Location

Odisha

AI stack

codex

hedra

inception

kilocode

Work experience

Data Analyst at Celebal Technologies, Jun 2024 - Aug 2024 · 3 mos, • Processed and validated structured datasets of 50K+ records using SQL-based ETL workflows, ensuring high data accuracy and consistency. • Performed data quality checks across multiple datasets, reducing reporting errors and improving reliability. • Built Power BI dashboards tracking 10+ KPIs, improving reporting efficiency by 25%. • Automated data validation and processing tasks, reducing manual effort by 40%. • Identified key trends, anomalies, and performance drivers to generate actionable insights for business decision-making. • Conducted EDA and hypothesis testing to identify trends and evaluate customer behavior and campaign performance metrics. • Collaborated with 4+ team members in Agile sprints to deliver analytics outputs within timelines.

Data Science Intern at Celebal Technologies, Jun 2024 - Jul 2024 · 2 mos, Remote

CTDP trainee at PwC India, May 2024 - Jun 2024 · 2 mos, Remote

Summer Intern at Indian Farmers Fertiliser Coop Ltd., May 2023 - Jun 2023 · 2 mos, Paradeep, Odisha

Web Development Intern at IFFCO Group, May 2023 - Jun 2023 · 2 mos, • Developed responsive eCommerce platform with 100% functional UI components. • Reduced UI bugs by 30% through structured testing and code reviews.

Education

Bachelor of Technology - BTech, Computer Science and Engineering, KIIT - Kalinga Institute of Industrial Technology

DAV PUBLIC SCHOOL IFFCO