Data Analyst · SQL | Power BI | Python | ETL · Turning messy data into decisions that move businesses forward

Noida


Bachelor of Engineering, Computer Science
GLA University

Bachelor of Technology, Computational Science
GLA University
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I get excited when a messy spreadsheet turns into a clear story. As a Computer Science graduate from GLA University, I've spent the past year going deep on the tools that make data actually useful — SQL, Power BI, Python, Excel, and Tableau. Not just learning them in isolation, but applying them to real business problems during my training at Ducat IT Training Center. Here's what I've built: → Customer Shopping Behaviour Analysis — segmented 10,000+ rows of transaction data to surface buying patterns → Sales Performance Dashboards — Power BI reports tracking 15+ KPIs with drill-through filters → Revenue & Trend Reports — automated ETL pipelines reducing manual reporting time significantly. My process: clean first, query second, visualize last. I write SQL that doesn't just work — it's readable. I build dashboards that non-technical stakeholders actually open. What I'm good at: ✔ SQL (Joins, CTEs, Window Functions, Subqueries) ✔ Power BI & Tableau Dashboard Development ✔ Python (Pandas, NumPy, data wrangling) ✔ ETL Workflows & Data Cleaning ✔ Excel (Pivot Tables, Power Query, VLOOKUP) I'm based in Delhi NCR and actively looking for Data Analyst roles where I can contribute from day one — not month three. If you're hiring or know someone who is, let's connect: 📧 work.animeshgond1191@gmail.com
Washington DC-Baltimore Area
Data Analyst Trainee at Ducat India, Jun 2025 - Present · 1 yr 1 mo, Noida, ▸ Cleaned and transformed 10,000+ row business datasets using Python (Pandas) and SQL, reducing data inconsistencies by standardizing formats across 5+ source files. ▸ Built 3 end-to-end Power BI dashboards tracking revenue KPIs, customer segments, and sales trends used for weekly business reporting with drill-through to transaction level. ▸ Wrote advanced SQL queries (CTEs, Window Functions, Subqueries) to answer 20+ analytical questions on sales and customer data, including cohort analysis and YoY comparisons. ▸ Developed Tableau dashboards for cross-team business insights, presenting findings to a 10-person cohort with recommendations on trend patterns.
Data Analyst at Ducat IT Training Center, Jun 2025 - Present · 1 yr 1 mo, • Engineered 20+ SQL queries using joins, subqueries, window functions and CTEs achieving 35% performance optimization across 500K+ records. • Architected 5+ KPI dashboards in Power BI (DAX, data modeling) and Tableau reducing monthly reporting time from 3 days to 6 hours. • Analyzed 5+ business datasets uncovering 12+ actionable insights and identifying revenue optimization opportunities valued at $180K+.
Bachelor of Engineering, Computer Science, GLA University
Bachelor of Technology, Computational Science, GLA University