Supply Chain Analytics • Marketplace Analytics • CRM Revenue Analytics • Operational Risk • Quantitative Systems
I build end-to-end analytics and decision-support systems that transform operational, marketplace, CRM, and supply-chain data into actionable business insights, executive reporting, KPI frameworks, risk evaluation, and decision-support outputs.
My portfolio combines Python, SQL, Power BI, simulation, optimization, network science, dashboarding, reproducible analytics pipelines, and AI-augmented analytical workflows.
| Domain | Representative Project | Core Capabilities |
|---|---|---|
| Decision Intelligence / Supply Chain | Supply Chain Digital Twin | Simulation, optimization, resilience analytics, KPI frameworks, executive dashboards |
| Marketplace Analytics | Marketplace Intelligence Platform | Customer analytics, seller intelligence, marketplace risk, network science, intervention ranking |
| CRM / Revenue Analytics | CRM Revenue Intelligence Dashboard | Revenue KPIs, sales performance, opportunity conversion, product/sector analysis |
| Operational Risk | Operational Risk & Reliability Analytics | Failure probability, severity, cost exposure, utilization thresholds, risk dashboards |
| Logistics / Cost Analytics | Shipment Pricing Analytics | Freight cost analysis, SQL aggregation, Power BI reporting, cost-per-kg KPIs |
| Quantitative Research | Near-Critical Systems Research | Monte Carlo simulation, stochastic modeling, statistical inference, reproducible research |
End-to-end industrial analytics platform integrating simulation, optimization, network science, resilience analytics, KPI frameworks, scenario analysis, policy benchmarking, executive reporting, and decision-support methodologies.
Demonstrates: Supply Chain Analytics • Decision Intelligence • Simulation • Optimization • Network Science • Executive Reporting • KPI Development
Multi-layer marketplace analytics platform using e-commerce transaction data to analyze customers, sellers, categories, delivery performance, marketplace fragility, concentration risk, and operational interventions.
Demonstrates: Marketplace Analytics • Customer Intelligence • Seller Intelligence • Business Intelligence • Risk Analytics • Network Science
Business analytics dashboard for sales-performance monitoring, revenue KPIs, opportunity conversion, product profitability, sector analysis, and sales-agent benchmarking.
Demonstrates: CRM Analytics • Revenue Analytics • Sales Analytics • Executive Reporting • KPI Dashboards
Python, SQL, and Power BI analytics system for operational risk, reliability, failure probability, severity analysis, utilization thresholds, and cost exposure.
Demonstrates: Risk Analytics • Reliability Analytics • Operational Monitoring • BI Reporting • Cost Exposure Analysis
SQL and Power BI analytics project using real logistics shipment data to evaluate freight costs, shipment mode performance, country-level cost exposure, and cost-per-kg metrics.
Demonstrates: SQL Analytics • Power BI • Logistics Analytics • Cost Analysis • KPI Development
Quantitative research project using Monte Carlo simulation, stochastic modeling, first-passage dynamics, statistical inference, and reproducible research pipelines.
Demonstrates: Quantitative Research • Monte Carlo Simulation • Statistical Inference • Operations Research • Reproducible Science
- Business Analytics
- Business Intelligence
- Decision Intelligence
- KPI Development
- Executive Reporting
- Dashboard Development
- Data Visualization
- Supply Chain Analytics
- Marketplace Analytics
- CRM / Revenue Analytics
- Operational Risk Analytics
- Simulation Modeling
- Monte Carlo Analysis
- Optimization
- Network Science
- Scenario Analysis
- Policy Benchmarking
- Process Improvement
- Reproducible Analytics
Python • SQL • Power BI • Pandas • NumPy • Numba • NetworkX • Matplotlib • SQLite • GitHub
I am focused on roles in Business Analysis, Data Analysis, Business Intelligence, Operations Analytics, Supply Chain Analytics, Analytics Engineering Junior, Decision Intelligence, and Quantitative Analytics.
My work combines a logistics and operations background with analytics, simulation, decision-support systems, and AI-augmented productivity workflows.