End-to-end café inventory project: clean transaction data, build daily item-level demand series, backtest strong baseline forecasters, generate next-30-day demand forecasts, convert forecasts into safety stock + reorder points, and validate policies with Monte Carlo stockout-risk simulations, wrapped in a Streamlit dashboard.

[Python & Gurobi] Adopted Game Theory & Linear Programming models to optimizing the price and sourcing strategy for Catfish producers in the United States

Data-driven optimization of Teradyne’s excess inventory approval process using Python, lead-time adjusted demand modeling, and financial risk analysis to improve capital efficiency and reduce excess spend.

SAP BTP Ops Copilot is a local-first MVP that transforms platform logs into executive-ready incident briefs, enabling faster decision-making during operational incidents.

The project provides insights and recommendations to improve the operations of a fictional pizza restaurant by analyzing daily and hourly order volume, utilization of seating capacity, performance of menu items, and inventory of over 48,000 rows of transaction data through data modeling and visualization in Power BI.

A billing churn analysis for Vastian built with SQL, Excel, and Tableau, uncovering how manual payment methods, late invoices, and renewal drop-offs drove nearly $380M in ARR loss.

Operations analytics project using mathematical optimization and Python (Google OR-Tools) to improve urban bus routing and scheduling.

Analytics & forecasting of customer support calls (vendor performance, SLA, staffing)

Excel-based operations dashboard to analyze city-wise order volume and SLA performance

Automated inventory reconciliation & out-of-stock alert system using Google Sheets and Apps Script

a system to track homecare. this makes it possible to effectively schedule visits and ensure that optimal value is extracted to the people who need home care from care professionals. Care is a right during retirement?

Proyecto de analítica de rendimiento económico y operativo de viajes marítimos, usando un dataset público.

End-to-end downtime analytics pipeline using Python, SQL, and ETL to compute reliability KPIs (MTBF/MTTR) and failure-mode insights for operational systems.

Operational metrics analysis project simulating GOC-style workflows

Order fulfillment performance analysis with delivery time optimization, bottleneck identification, and operational KPI tracking

Interactive Power BI dashboard analyzing analyst performance, SLA compliance, ticket resolution efficiency, and workload distribution to support data-driven operational decisions.

Streamlit app for teaching and exploring forecasting methods in operations analytics

A Python-based decision-support application for operational risk and loss prevention that transforms site-level operational data into KPIs, risk classifications, and actionable recommendations, with outputs designed for executive review and audit-friendly analysis.

A Python based decision-support tool for evaluating operational intervention tradeoffs under cost, service, and SLA constraints, with executive-ready outputs and auditability.