At AtliQ Technologies, I contributed across four business problems — HR attendance analysis, network reporting automation, supply chain normalization, and telecom revenue analysis — delivering actionable insights on each.

I normalized a 57,000-row denormalized dataset into a clean 4-table star schema and used variance analysis to flag Elite Mart Vadodara as the top outlier with an 8,398-unit delivery gap — later presented to the business team.

For Wavecon Telecom, I built a 5G business impact presentation analyzing Revenue, ARPU, and TAU metrics — translating raw query output into a client-ready strategic narrative.

Alongside the internship, I independently built 3 end-to-end analytics projects on real business datasets:

Supply Chain Delay Analysis — Analyzed 100K+ Olist Brazil orders using Python, SQL, and Power BI. Identified Alagoas (AL) as a 3× high-risk region with R$98,600 in estimated penalty exposure.

Hotel Revenue & Booking Performance — Diagnosed Rs.29.87 Cr revenue leakage across 1,34,573 booking records. Traced root cause to a uniform 25% cancellation rate across all 7 platforms.

AtliQ Hardware Market Analysis — Wrote 13+ advanced SQL queries on 1.4M+ sales records to track $3.56B in global revenue growth from 2018 to 2021.