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Vineet Lot

@vineetlot

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Data Analyst focused on SQL, Python, and Power BI—turning raw data into actionable insights and faster reporting.

India

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What I'm looking for

I’m seeking a Data Analyst role to convert raw data into clear, actionable insights that support business decisions—building reliable ETL, KPI dashboards, and stakeholder-ready reporting with SQL, Python, and Power BI.

I’m a B.Tech graduate (2026) in Artificial Intelligence & Data Science with hands-on experience across the full data analysis lifecycle—data cleaning, ETL, exploratory & statistical analysis, dashboard development, and stakeholder reporting. I specialize in SQL, Python, Power BI, and Advanced Excel, with a proven impact from cutting data errors by 60% and improving reporting turnaround time by 40% through automated pipelines and KPI dashboards.

In my Data Science & Python internship at TechSimPlus, I delivered weekly KPI reports and built visualization dashboards using Matplotlib and Seaborn, surfacing key insights for stakeholder decisions. I also built end-to-end ETL and analytics solutions through projects like the Sales & Market Analytics Dashboard (Power BI + DAX + drill-down KPIs) and a Spam Detection Analytics Tool (NLP with Django UI), where I achieved strong classification accuracy and fast interactive reporting.

Experience

Work history, roles, and key accomplishments

Data Science & Python Intern

TechSimPlus Learnings

Jun 2024 - Aug 2024 (2 months)

Executed data cleaning and ETL on a 5,000+ record dataset, achieving 98%+ data integrity for downstream analysis. Built visualization dashboards and automated analysis pipelines that reduced manual processing time by 40% and supported weekly KPI stakeholder reporting.

Data Cleaning ETL Data Validation SQL Python (Pandas)Power BI KPI Reporting Matplotlib SeaBorn OpenCV

Education

Degrees, certifications, and relevant coursework

Jai Narain College of Technology (LNCT Group)

Bachelor of Technology (B.Tech), Artificial Intelligence & Data Science

2022 -

Pursuing a B.Tech in Artificial Intelligence & Data Science, covering the data analysis lifecycle including cleaning, ETL, and analytics/visual reporting. Expected completion is Aug 2026.