Business & Data Analyst | Jersey City, NJ | cheynemmadhi@gmail.com | LinkedIn
Driven by data and powered by insights—I’m passionate about turning raw information into clear, actionable results that help teams make smarter decisions. With a strong hybrid background in data analytics and business strategy, I build dashboards, automate workflows, and drive improvements in operations, finance, compliance, and forecasting.
| Degree | Institution | Location | Timeframe |
|---|---|---|---|
| M.Sc. Business Intelligence & Analytics | Stevens Institute of Technology | Hoboken, NJ, USA | Jan 2023 – Dec 2024 |
Hoboken, NJ | Jun 2023 – Dec 2024
- Partnered with finance & ops to define reporting needs and built Power BI & Tableau dashboards to track KPIs across 450+ campus events—managing $200K+ budgets and vendor performance
- Automated workflows using SQL & Excel (VBA/macros)—cutting report prep time by 60% and standardizing outputs
- Conducted spend and vendor trend analysis—uplifted forecasting accuracy by 30% and slashed budget variance by 20%
- Collaborated with compliance teams to develop Python/SQL-based tracking systems—boosting audit-readiness and reducing violations by 25%
Hyderabad, India | Jun 2021 – Dec 2022
- Analyzed 80K+ lab and health records using SQL & Python to root out anomalies and elevate data integrity
- Created Power BI & Excel dashboards to visualize testing volumes, outcomes, and compliance
- Reduced lab error rates by 30% via statistical analysis and process improvements
- Automated compliance reporting with Python—cut manual workload in half and ensured consistent regulatory adherence
Hyderabad, India | Jan 2022 – May 2022
- Managed placement data for 300+ students—leveraged Excel, SQL & VBA to create a real‑time status dashboard, driving a 95% placement rate
- Streamlined recruiter coordination workflows—improving efficiency by 40%
- Programming & Analytics: Python (Pandas, NumPy, Matplotlib, Scikit‑learn), R, SAS, SQL (PostgreSQL, Redshift)
- Visualization & Reporting: Power BI, Tableau, Excel (PivotTables, VBA), Alteryx
- Automation & ETL: Python scripting, dbt, Apache Airflow, Azure Data Factory
- Cloud & Big Data: GCP, Amazon Redshift, Snowflake, Apache Spark
- NLP: SpaCy, Stanza, word2vec
- Version & Documentation: Git, Jupyter, SOP & compliance reporting
| Project | Tools & Tech | Highlights |
|---|---|---|
| Client Entity Data Quality & Compliance Dashboard | SQL, Excel (VBA), Tableau | Developed a validation system for 2,000+ client records—improved data quality & audit readiness by 30%, and reduced manual tracking by 40% |
| Ref Data Risk Monitoring & Tracker | Python, SQL, Power BI | Built a system to manage 1,200+ data mismatches in student records—flagged risky cases in dashboards and reduced discrepancies by 40% |
| Resource Optimization for Campus Events | SQL, Excel (VBA), Power BI | Audited spend on 450+ events—identified overspending areas, cut resource usage by 20%, and boosted resource utilization by 15% |
| Placement Outcome Analysis | SQL, Excel, Power BI | Consolidated 10K+ placement records, built interactive dashboards—enhanced recruiter alignment by 12% |
- Databricks Certified Associate Developer for Apache Spark 3
- Bloomberg Market Concepts (BMC)
I’m actively seeking new analytics roles where I can elevate data strategies, drive efficiency, and empower decision-making through actionable insights. Let’s talk—whether you're looking to improve operations, forecast smarter, or build data-driven systems.
Feel free to explore this repo—check out notebooks, dashboard snapshots, and project write‑ups.
