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.

Toyota Production Analytics Dashboard using Excel VBA to simulate Lean manufacturing analytics, production monitoring, defect analysis, and automated factory KPI reporting.

SQL & Tableau manufacturing analytics project comparing rule-based diagnostic modeling vs leakage-safe predictive risk modeling using the AI4I 2020 dataset.

Operational analytics pipeline that detects workflow inefficiencies in ITSM ticket lifecycles and simulates cost-saving interventions.

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.

Simulated operations case study comparing 4x10 vs 6x6-7 workforce allocation for throughput stability, backlog control, and labor-cost efficiency.

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.

CapEx equipment program management dashboard for semiconductor manufacturing operations.

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.

Interactive Excel logistics dashboard tracking OTIF, SLA compliance, delay trends and return rates across 200 shipments — revealing a 42.5% SLA breach rate and 235% increase in delays from January to July.

Анализ операционной нагрузки на обезличенных данных с помощью SQL и Yandex DataLens.

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

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?

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

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

Data Analysis and Visualizations of Airline Flight Data. Demonstration of Python Pandas, Matplotlib, Exploratory Data Analysis, Systems/Critical Thinking, and Data/Operations Analytics.

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

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

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

Enterprise Operations Analytics Dashboard built using Power BI to monitor operational performance, efficiency KPIs, and business insights through interactive visualization and advanced DAX calculations.

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

No description provided.

Business-oriented data science project analyzing delivery delays and customer satisfaction in e-commerce. Combines operational analytics, exploratory analysis, and machine learning to evaluate the predictability of negative customer experiences.

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.

Tableau dashboard analyzing manufacturing defects, severity, repair costs, trends, and inspection methods (2024).

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