Headline

Data Analyst | Python · SQL · Power BI | ETL Pipelines · AWS Redshift | BI Dashboards · Marketing Analytics

About

I build the data infrastructure that makes business decisions possible — not just reports that describe what already happened. At Tata CLiQ Fashion, I spent 10 months embedded with the CRM team doing end-to-end data work: engineering Python/Boto3 ETL pipelines that cut ingestion latency by 40%, designing an 80:10:10 holdout framework to measure true GMV lift from marketing campaigns, and building a live Power BI dashboard that tracked Burn Efficiency and Revenue Per Visit — so stakeholders stopped relying on one-off analyst pulls. We moved the team from descriptive to diagnostic analytics, cutting manual data wrangling by 60%. Before that, at Infotact Solutions, I queried and analyzed 10M+ records in Python and SQL to surface emerging tech trends that fed directly into strategic roadmap planning — and automated recurring data workflows that cut manual processing time by 50%. Outside of internships, I've built a fraud detection classifier on 500K+ transactions (99.7% accuracy, <2% false-positive rate) and a 3-tier churn risk model across 64K+ customer records — both designed to translate patterns into revenue protection, not just model metrics. My stack: Python (Pandas, Boto3, Scikit-learn, NumPy) · SQL · R · Power BI · Tableau · AWS S3 · Amazon Redshift · BigQuery · ETL Pipelines · A/B Testing · Statistical Modeling I'm looking for full-time roles in Data Analytics, Business Intelligence, Data Engineering, or Product Analytics where I can work close to the business — not just the notebook.

Location

Mumbai

AI stack

aistudio

cursor

notion

openai

Work experience

Data Analyst Intern at Tata CLiQ Fashion, Jul 2025 - Apr 2026 · 10 mos, Mumbai, Maharashtra, India, --> ETL & Data Engineering Built Python/Boto3 ETL pipelines that moved transactional data across multiple retail brands from AWS S3 into Amazon Redshift — cutting ingestion latency by 40% and giving the CRM team a reliable, trusted data foundation. --> Marketing Analytics & Experimentation Designed a custom 80:10:10 holdout framework to measure true GMV lift from marketing campaigns — because the business needed actual numbers, not what the platform reported. --> Identity Resolution & Customer Data Used a Customer Data Platform (CDP) to unify disjointed customer records from multiple retail brands into a single "Golden Record" per customer — improving targeting accuracy for CRM campaigns. --> Business Intelligence Built a live Power BI dashboard tracking Burn Efficiency and Revenue Per Visit (RPV), used directly by the CMO and CEO for campaign decisions — eliminating ad-hoc analyst requests entirely. --> Process Optimization Transitioned the team from manual, descriptive reporting to diagnostic analytics — reducing data wrangling time by 60%.

Data Analyst Intern at Infotact Solutions, Jan 2025 - Mar 2025 · 3 mos, Bengaluru, Karnataka, India, --> Data Analysis at Scale Queried and analyzed 10M+ records in Python and SQL to identify emerging technology trends — findings fed directly into strategic roadmap planning. --> Tool Evaluation & Validation Assessed 4+ analytical tools against performance and volume benchmarks, documenting gaps and confirming production readiness before rollout. --> Workflow Automation Automated recurring data transformation and storage workflows in Python — cutting manual processing time by 50% across the team.

Education

Bachelor of Technology, Computer Engineering, Marwadi University

Marwadi University