UROOSH NIAZI
USA
Summary
Detail-oriented Doctoral Candidate in Business Intelligence & Analytics specializing in AI-driven demand forecasting and inventory optimization for defense supply chains. Developed a predictive drug shortage risk analysis model published on GitHub and Tableau Public. Conducted a systematic literature review on AI in defense supply chains, currently under peer review with MSCRA journal.
Overview
4
4
years of professional experience
Work History
Business Analyst
Aptech
, Texas
06.2024 - 08.2025
- Developed 10+ interactive dashboards in Tableau and Power BI, enabling senior leadership to monitor KPIs in real time and make faster, data-backed decisions.
- Collaborated with cross-functional teams to design analytics solutions that streamlined processes, boosting operational efficiency by 15%.
- Automated reporting workflows using Python, R, and SQL, enhancing data accuracy and reducing report turnaround time by 30%.
Data Analytics Intern
Delta Health Alliance
, Tennessee
01.2024 - 04.2024
- Applied machine learning techniques (regression, decision trees) to increase predictive accuracy by 10%, providing actionable insights to clinical teams for informed care strategies.
- Analyzed trends and built predictive models using statistical methods, enabling management to forecast patient outcomes and optimize resource allocation.
- Collected and cleaned healthcare data from multiple sources, enhancing dataset reliability for operational analyses.
Supply Chain Analyst
Sui Southern Gas Company Ltd
, Pakistan
02.2021 - 01.2022
- Developed and implemented inventory and logistics strategies, boosting productivity by 10% and achieving 25% cost savings across the supply chain.
- Redesigned supply chain network and renegotiated third-party contracts, reducing inventory costs by 10% and improving on-time delivery rates by 30%.
- Automated procurement workflows using SAP, improving data accuracy and streamlining sourcing and purchasing processes.
Education
Doctor of Business Administration - Business Intelligence and Analytics
Westcliff University
Irvine, CA12-2029
Master of Science - Data Science
Christian Brothers University
Memphis, TN05-2024
Skills
- Data visualization
- Dashboard development
- Tableau
- Power BI and SQL
- Predictive analytics
- Dataset analysis
- Data-driven decision making
- Business process improvement
- Operations analysis
- AWS and Python
- Database management
- Cross-functional collaboration
- Client management
- Forecasting and planning
Research & Projects
Drug Shortage Risk Analysis Model - 2026
● Built logistic regression + ML pipeline in Python predicting permanent pharmaceutical discontinuation risk; manufacturer concentration emerged as the key predictor (1.66 vs. 6.85 mean manufacturers for discontinued vs. active drugs).
● Achieved AUC 0.986 and 96% classification accuracy; model and interactive dashboard published on GitHub and Tableau Public.
● Manuscript in preparation for journal submission; findings have direct applications to FDA policy and defense medical supply chain resilience.
FedEx Memphis Supply Chain Analytics Project - 2026
- Analyzed U.S. e-commerce, air-cargo, and FedEx financial data to assess the strategic importance of the Memphis hub.
- Built visualizations showing 68× e-commerce growth since 2000 and Memphis’s 3.75M-metric-ton cargo leadership in North America.
- Calculated a 0.94 correlation between FedEx revenue and e-commerce sales and proposed supply-chain resilience recommendations.
Timeline
Business Analyst
Aptech
06.2024 - 08.2025
Data Analytics Intern
Delta Health Alliance
01.2024 - 04.2024
Supply Chain Analyst
Sui Southern Gas Company Ltd
02.2021 - 01.2022
Doctor of Business Administration - Business Intelligence and Analytics
Westcliff University
Master of Science - Data Science
Christian Brothers University