Headline

Data Analyst | SQL · Tableau · Power BI · PostgreSQL · Python | MS Information Systems, Northeastern University | Open to Data Analyst, Business Analyst, and BI Analyst Roles

About

I am a Data Analyst with an MS in Information Systems from Northeastern University and hands-on experience across the full analysis cycle - data extraction, cleaning, validation, and reporting. At Rebecca Everlene Trust Company, I worked on a large nonprofit dataset covering approximately 8,000 records, conducting field audits, resolving inconsistencies, building gap analysis frameworks, and classifying records by funding deadline proximity to help the team prioritize outreach and documentation. On independent and academic projects, I have worked with large-scale structured datasets using SQL, Tableau, Alteryx, and Talend - including a 90-million-record movie database built on Azure SQL and a food inspection analysis using a 5-table star schema. I am currently building a CitiBike urban mobility analysis in PostgreSQL and Tableau, with documented use of AI-assisted SQL drafting and human validation. My focus is on DA, BA, and BI Analyst roles where the core work is turning messy or complex data into something a team can actually act on. Open to opportunities across India. Available immediately. kumar-mehul@outlook.com

Location

India

AI stack

claude code

claude

gemini

Work experience

Data Analyst at Rebecca Everlene Trust Company, Oct 2024 - May 2025 · 8 mos, Chicago, Illinois, United States, - Constructed a structured dataset from IRS 990 filings and supplementary sources, contributing to a team-managed repository of approximately 8,000 nonprofit records - Conducted a full audit of inherited dataset fields, identifying and resolving inconsistencies in naming conventions, formatting, and data entry across multiple source documents - Developed a gap analysis framework to surface missing critical fields, prioritizing records by completion urgency and flagging high-priority cases for immediate remediation - Designed a 12-month deadline classification system to segment records by funding cycle proximity, enabling the team to sequence outreach and documentation efforts more effectively - Led a document enrichment pass across assigned records, cross-referencing external sources to fill data gaps and improve record completeness ahead of reporting deadlines

Education

Master of Science - MS, Information Systems, Northeastern University

Bachelor of Technology, Information Technology, SRM IST Chennai

Public links

github: https://github.com/kmehul

kmehul.github.io: https://kmehul.github.io/