Priyanshu Negi
@priyanshunegi1
Data analytics and data engineering intern focused on building ETL pipelines and interactive dashboards for better decisions.
What I'm looking for
I’m a Computer Science undergraduate with hands-on experience in data analytics through a “Virtual Intern — Data Visualization” simulation for Deloitte. I focus on turning raw data into clear visualizations, audit-ready reporting, and insights that help executives make effective decisions.
In my projects, I’ve designed and built a modern data warehouse using Medallion Architecture (bronze, silver, gold) on MS SQL Server with T-SQL, including ETL pipelines for scalable and high-quality data. I also created SQL-based dashboards and reports to deliver actionable insights for decision-making.
I enjoy working end-to-end with big data and analytics: I analyzed a “1GB+ motorsport dataset” using PySpark, built ETL pipelines for multiple datasets, and used joins, aggregations, and window functions to surface top drivers and standings. I’ve also developed interactive Power BI dashboards with a star schema and advanced DAX measures, delivering dynamic KPIs, drill-through reporting, and time intelligence.
Experience
Work history, roles, and key accomplishments
Data Visualization Virtual Intern
Deloitte
Jun 2025 - Present (1 year)
Completed a Deloitte data analytics simulation focused on creating data visualizations and preparing audit reports with charts to support clearer, executive-level decision-making. Produced visual assets for data analysis and summarized findings through structured data briefings.
Education
Degrees, certifications, and relevant coursework
R. D. Engineering College
Bachelor of Technology in Computer Science, Computer Science
2022 - 2026
Grade: CGPA: 8.0
Pursuing a Bachelor of Technology in Computer Science at R. D. Engineering College, focusing on foundational and applied computing concepts. CGPA reported as 8.0.
A.S.A.S.V.M.
Intermediate (CBSE), Physics, Chemistry, Mathematics (PCM)
Grade: Percentage: 70
Completed Intermediate (CBSE) with Physics, Chemistry, and Mathematics (PCM). Percentage reported as 70%.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Portfolio
github.com/priyanshunegiJob categories
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