DURGA NAGA SAI KUMAR JANAKI
@durganagasaikumarjan
I build reliable data pipelines, cloud databases, and decision-ready analytics dashboards.
What I'm looking for
At Excelerate, I led a six-member analytics team through database setup, data cleansing, exploratory analysis, and Google Looker Studio reporting. I migrated a PostgreSQL 17 schema to Supabase and built a centralized SQL View for real-time reporting.
I use SQL and Python to clean large datasets, validate data quality, detect outliers, and turn findings into practical recommendations. In Quantium's retail analytics simulation, I analyzed 264,000+ transactions, identified statistically significant customer behavior, and evaluated store trials showing sales growth of up to 29.3%.
I've also conducted forensic data profiling and risk assessments through Deloitte's job simulation, translating technical audit findings into executive-ready reports. My engineering background includes building an embedded system to detect and locate underground cable faults in real time.
Experience
Work history, roles, and key accomplishments
Data Visualization Associate Intern (Team Lead)
Excelerate
Jul 2026 - Aug 2026 (1 month)
Led a 6-member cross-functional analytics team through a structured 4-week agile data workflow, managing database setup, exploratory data analysis, data cleansing, and BI dashboard reporting. Engineered a local relational database in PostgreSQL 17 and executed successful schema migration to cloud-hosted Supabase using pg_dump and pg_restore workflows.
Education
Degrees, certifications, and relevant coursework
Krishna University College of Engineering and Technology
Bachelor of Technology, Electronics and Communication Engineering
Grade: 7.96/10.0
Completed Bachelor of Technology in Electronics and Communication Engineering with a cumulative CGPA of 7.96/10.0.
State Board of Technical Education and Training
Diploma, Electronics and Communications Engineering
Grade: 73.54%
Completed Diploma in Electronics and Communications Engineering with a percentage of 73.54%.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Job categories
Skills
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