Manas Kothamasu
Jersey City,NJ
Summary
Analytics professional with experience spanning product analytics, financial data analysis, and business intelligence. Strong SQL practitioner with hands on experience analyzing transaction level data, building dashboards, and translating ambiguous business questions into structured, actionable insights. Comfortable working with messy real world datasets and communicating findings clearly to technical and non technical stakeholders. Background includes analytics roles in fintech and applied research environments.
Overview
4
4
years of professional experience
Work History
Data Engineer
Auburn University
01.2023 - Current
- Acted as an analytics and coordination bridge between technical teams and stakeholders by translating operational and business questions into data driven analysis and reporting.
- Analyzed system level data from RFID deployments to evaluate performance trends, data quality issues, and operational bottlenecks across multiple projects.
- Built structured reporting workflows to validate large volumes of device and transaction style data, ensuring accuracy, consistency, and usability for downstream analysis.
- Partnered with cross functional teams to define metrics, document assumptions, and standardize data interpretation across projects.
- Produced ad hoc analyses and summaries to support decision making related to system performance, testing outcomes, and process improvements.
- Developed clear documentation and reporting templates that improved consistency, repeatability, and stakeholder understanding of analytical outputs.
Data Analyst
HighRadius
08.2021 - 12.2022
- Performed in depth analysis of transaction level financial data using SQL and Excel to identify trends in delayed payments, payment mismatches, and recurring disputes, reducing issue resolution time by 20 percent.
- Wrote complex SQL queries involving joins, aggregations, window functions, and date based logic to support product analytics and client reporting needs.
- Worked closely with client finance and operations teams to turn ambiguous business questions into structured analytical outputs and KPIs.
- Built dashboards and recurring reports in Tableau to track invoice aging, payment behavior, and risk segmentation for client facing analytics.
- Designed and automated reconciliation and exception tracking workflows, improving reporting efficiency and data accuracy while reducing manual effort.
- Communicated analytical findings to non technical stakeholders by clearly explaining trends, drivers, and business implications.
Education
Master of Science - Computer Science And Software Engineering
Auburn University
Auburn, Alabama, AL12-2024
Skills
- Power BI
- Tableau
- ETL development
- Data warehousing
- Data modeling
- Data pipeline design
- Data migration
- SQL expertise
Timeline
Data Engineer
Auburn University
01.2023 - Current
Data Analyst
HighRadius
08.2021 - 12.2022
Master of Science - Computer Science And Software Engineering
Auburn University