UNS-native, cybersecurity-aware multi-agent reference architecture for U.S. small-to-mid manufacturers. Industrial agentic intelligence aligned with ISA-95, NIST AI RMF, and CMMC L2.

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

Operational performance and MI reporting using SQL and Power BI, focused on backlog, SLA and workload monitoring for management decision-making.

This project presents an end-to-end analysis and solution for a real-world business case focused on **reducing Total Order Time** and **improving delivery efficiency** in a fast-growing foodtech startup. It demonstrates strong data analysis, business insight generation, and dashboarding skills using Excel and Power BI.

SQL-based analytics pipeline for identifying revenue leakage in CPG supply chains using DuckDB, Python, and synthetic trade spend data

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

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.

End-to-end healthcare claims analytics: Synthea → DuckDB → dbt (sources/staging/intermediate/marts) → Streamlit + Plotly ops UI. Surfaces $2.6M outstanding across 14K claims with a ranked priority queue, claim-level drill-down, and explainable "why flagged" rules. Modern data stack portfolio build.

Multi-agent AI system for logistics, finance, and growth marketing intelligence using FastAPI, LLM orchestration, memory, and real-time streaming.

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

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

AI-powered operations monitoring system that detects issues, scores severity, chains root causes, and delivers automated PDF reports via email — built with Python, Claude API, and ReportLab

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.

Operational supply chain analytics project using SQL and Python to analyze demand trends, procurement activity, delivery performance, inventory classification, and operational KPIs.

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.

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

Interactive Excel dashboard — 1,000 call records, dynamic slicers, KPI tracking for operational analytics, rep performance, and regional analytics

CapEx equipment program management dashboard for semiconductor manufacturing operations.

📊 Analyze pricing strategies and optimize revenue with our Power BI dashboard, offering insights into consumer demand and profitability across product segments.