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

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.

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

A 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 that forecasts short-horizon demand, evaluates capacity utilization risk, and produces prioritized mitigation actions with backtest accuracy (MAE/MAPE) and a professional PDF report.

Operational metrics analysis project simulating GOC-style workflows

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?

Streamlit app for teaching and exploring forecasting methods in operations analytics

Python analytics project analyzing airline disruptions, delays, cancellations, and passenger impact using a Disruption Severity Index (DSI).

Advanced SQL

This is a Restaurant Operations Analysis for Taste of the World Cafe.

Machine Learning project analyzing 110K+ medical appointments to predict no-shows using EDA, feature engineering, Random Forest, XGBoost, and operational insights.

City-level SLA and operations bottleneck analysis using SQL

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)

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

End-to-end data modeling and scenario simulation using PostgreSQL and Power BI. Quantifies the financial impact of operational levers like price uplift, rain penalty reduction, and staff efficiency improvements.

Automated client MIS reporting using SQL Server and Excel dashboards

F1 logistics pet project with operations research and time series forecasting. Started in 2020, resurrected in 2025 with modern ML stack (Prophet, XGBoost, RL).