Headline

Data Analyst | Python | SQL | Power BI | DOMO BI | Identified 20% Revenue Drop via Root-Cause Analysis | E-commerce & Marketing Campaign Analytics

About

Most analysts build dashboards. I build early-warning systems. In my last role at Technodata Analytics, I identified a 20% drop in Q1 2026 sales through root-cause analysis on Shopify transaction data — surfacing the underlying cause before leadership even knew there was a problem. That's the difference between a dashboard and a decision engine. What I do: → End-to-end pipeline ownership: raw data extraction → transformation → BI visualization → Marketing analytics: Google Analytics → DOMO BI dashboards with live KPI tracking → Sales intelligence: Shopify transaction data → executive-ready interactive reports → Root-cause analysis: not just "what happened" but "why, and what do we do about it" Stack: Python · SQL · Power BI · DOMO BI · ETL pipelines · Google Analytics · Shopify data Where I add value: e-commerce analytics, marketing performance, and revenue operations — any context where bad data is costing the business money it doesn't know it's losing. Currently looking for full-time Data Analyst roles at companies where data sits at the center of product and growth decisions. If you're building a team that wants analysts who own outcomes, not just outputs — let's talk.

Location

Delhi

Work experience

Data Analyst at Technodata Analytics Services Pvt Ltd, Jan 2026 - Apr 2026 · 4 mos, Noida, Project 1: Marketing Analytics Dashboard (Google Analytics + DOMO BI) → Inherited a manual, spreadsheet-based reporting process that consumed analyst bandwidth weekly — automated the full reporting pipeline from Google Analytics to DOMO BI, eliminating manual touchpoints entirely. → Engineered an ETL pipeline that pulls live GA data into structured KPI views tracking traffic, acquisition channels, and engagement — giving the marketing team real-time visibility with zero analyst intervention. → Owned the full stack independently: raw data extraction, transformation logic, and dashboard deployment — delivering the project end-to-end within a 4-month internship window. Project 2: Shopify Sales Dashboard + Root-Cause Analysis (DOMO BI) → Proactively conducted root-cause analysis on Shopify transaction data and identified a 20% drop in Q1 2026 sales — surfacing the underlying driver and presenting findings to the team before it escalated, enabling targeted corrective action. → Built a custom DOMO BI app layer on raw Shopify data, transforming fragmented transaction records into an interactive, executive-ready sales performance tool used for business decision-making. → Designed the full ETL pipeline — from raw Shopify export to structured dimensional model to live visual report — independently, without a senior analyst handholding the architecture.

Education

Bachelor of Technology - BTech, Computer science and engineering, Dr. A.P.J. Abdul Kalam Technical University

Bachelor of Technology - BTech, Computer science and engineering, Iec college of engineering and technology