NAGA SAI MAHITH GANJI
Data Analyst
+1-757-***-**** ***********@*******.***
PROFESSIONAL SUMMARY
Results focused Data Analyst with 3+ years of hands-on experience leading end-to-end requirements analysis, secure data integration, fraud detection analytics, and BI dashboard development for Fortune 500 and high-growth environments. Excel at translating complex stakeholder needs into actionable technical specifications (BRD/FRD), designing ETL/ELT pipelines in Snowflake/dbt, and delivering audit-ready Power BI, Tableau, and Cognos visualizations that drive compliance, reduce risk, and accelerate decision-making. Proven in Agile environments (Jira/Confluence) coordinating cross-functional data exchanges, conducting ad-hoc investigative analysis with SQL/Python, and building training programs that elevate team analytical capacity. Recognized for standardizing documentation practices, automating compliance workflows, and presenting data-driven insights to C-suite audiences—consistently achieving 10–20% improvements in KPIs, fraud detection accuracy, and operational efficiency.
TECHNICAL & PROFESSIONAL SKILLS
Data Analytics & BI: Tableau (certified), Cognos Analytics, Power BI (DAX, Power Query), SQL (complex joins, CTEs, window functions), Python (Pandas, NumPy, Scikit-learn basics), R, machine learning fundamentals
Data Engineering & Integration: ETL/ELT design, secure data exchange (SFTP, API, ODBC), Snowflake (virtual warehouses, Snowpipe), dbt, AWS S3/Redshift, Oracle, SAP HANA, data modeling (star schema, 3NF)
Business Analysis: Requirements gathering & documentation (BRD, FRD), process mapping, user stories, use case modeling, stakeholder interviews, JAD sessions, gap analysis, traceability matrix, change management
Automation & Quality: Data quality assurance (Great Expectations), workflow automation (Power Automate, Alteryx basics), quality assurance testing, regression analysis, A/B testing frameworks
Tools & Platforms: MS Power Platform (Power Apps, Power Automate), Jira, Confluence, Advanced Excel (VBA, Power Pivot), Git, Postman, ArcGIS
Compliance & Governance: Audit-ready documentation, data lineage, PII/redaction protocols, fraud pattern detection, KPI definition, SLA tracking
PROFESSIONAL EXPERIENCE
Data Analyst
Honda of America Mfg. Inc. – Remote June 2025 – Present
Coordinated secure data exchanges (SFTP/API) between SAP, Oracle, and Snowflake; enabled real-time cross-matching, reducing fraud false-positives by 15%.
Led ad-hoc fraud analysis using SQL + Python (Pandas); delivered 24-hour investigative reports with 100% accuracy to legal/compliance.
Developed Power BI dashboards with DAX measures for fraud KPIs; improved decision velocity by 20%.
Administered AI-flagging rules in Python; enhanced fraud detection logic, cutting manual reviews by 18%.
Standardized documentation in Confluence (BRDs, data dictionaries); ensured reproducibility and audit compliance.
Trained 20+ users on Tableau, Power BI, and fraud analytics; built user guides and mentorship program.
Defined user stories in Jira; drove 12% retention uplift via behavioral segmentation.
Data Analyst
TJX Companies Inc. – Remote February 2022 – May 2025
Authored BRDs/FRDs for ERP migration; designed dbt + Snowflake ELT pipelines for 10M+ records/day.
Automated compliance reporting with Power Automate + SQL; reduced audit prep by 25%.
Built Tableau + Power BI visualizations (drill-throughs, parameters); drove 10% NPS uplift.
Implemented data quality framework (Python + Great Expectations); reduced errors by 22%.
Facilitated JAD sessions; translated stakeholder needs into technical specs and traceable deliverables.
Presented findings via data-driven PowerPoint; influenced $2.1M fraud tool investment.
EDUCATION
M.S. Computer Science
Old Dominion University – Norfolk, VA 2022 – 2023
Capstone: Python healthcare analytics (Pandas + data warehousing) – 92% accuracy
B.Tech. Information Technology
Vidya Institute of Technology – Telangana, India 2017 – 2021
CERTIFICATIONS
Google Analytics (2025)
Tableau Desktop Specialist (2024)
PCAP – Programming Essentials in Python (2020)