- Description: Full-scale Power Market Back Office and Project Controller platform engineered for portfolio anomaly detection, hydropower generation monitoring (52 plants across NO1, NO2, and NO5 price zones), and physical power imbalance settlement. Features dynamic EVM-style imbalance risk simulation (BAC/AC/ETC/EAC), interactive S-Curves with direct labeling, an Isolation Forest machine learning anomaly detection engine for SCADA telemetry faults, and an in-browser DuckDB/SQLite analytical SQL studio.
- Technologies: Project Controlling & EVM, Isolation Forest (Machine Learning), DuckDB (OLAP) & SQLite (OLTP), Edward Tufte Data-Ink UI, Interactive SVG S-Curves, Nord Pool / Statnett Settlement.
- Business Impact: Provides power plant operators, energy traders, and project controllers with automated telemetry fault detection, imbalance risk mitigation, capture price analysis, and real-time EAC forecasting.
- GitHub Repository: Power Market Back Office Repo
- Live Demo: Power Market Back Office Demo
- Description: Python-based finance analytics and forecasting platform combining deterministic financial calculations, a local SQLite repository, scikit-learn machine learning forecasting, and CrewAI-style workflow orchestration with optional MLflow experiment tracking. Designed for project-controlling and financial-analysis scenarios to explain budget variances, forecast project cost behavior with a 90% confidence envelope, track policy-driven escalation thresholds (POL-FIN-2026-01), and produce a consistent analysis narrative from structured domain data.
- Technologies: Project Controlling & EVM, Deterministic Variance & EAC, SQLite Database Engine, Scikit-Learn ML Forecasting, CrewAI Multi-Agent Workflow, MLflow Tracking, Edward Tufte Data-Ink UI.
- Business Impact: Equips project controllers, financial analysts, and project managers with automated budget-to-actual variance explanations, ML-driven cost projections, escalation alerts, and auditable transaction evidence.
- GitHub Repository: Project Finance AI Repo
- Live Demo: Project Finance AI Controller Cockpit
- Description: Longitudinal econometric analysis of spot electricity prices across Norway's five bidding zones (NO1–NO5). Investigates seasonal fluctuations, grid transmission constraints, hydrological reservoir variance, and structural price disparities between southern and northern regions.
- Technologies: Python, Pandas, Power BI Modeling, Time Series Econometrics, NO1–NO5 Spot Pricing.
- Business Impact: Provides energy market analysts and power portfolio controllers with deep visibility into price volatility, transmission bottlenecks, and regional risk exposure.
- GitHub Repository: Norwegian Electricity Price Analysis Repo
- Live Demo: Norwegian Electricity Price Analysis Report
- Description: Autonomous PMO and Project Controlling platform engineered for naval defense lifetime extension programs (Skjold-Class Stealth Fast Patrol Boats at Umoe Mandal). Integrates full-lifecycle executive governance, interactive triple S-Curve EVM forecasting (BAC 766M NOK, CPI/SPI indices), 19 Work Package milestone Gantt scheduling, drydock execution tracking, IFRS 15 / IAS 37 accounting compliance, and Variation Order Request (VOR) governance.
- Technologies: Autonomous PMO Architecture, Earned Value Management (EVM), IFRS 15 / IAS 37, DuckDB / Analytical SQL, Interactive SVG Charts, Edward Tufte Data-Ink UI.
- Business Impact: Provides project directors, CAMs, and shipyard controllers with single-pane-of-glass variance control, EAC/ETC forecasting, and milestone risk tracking.
- GitHub Repository: AI AGENTIC PMO Repo
- Live Demo: AI AGENTIC PMO Portal Demo
- Description: Enterprise PMO and Earned Value Management platform built on Microsoft Fabric Lakehouse (Direct Lake) for naval defense construction (Skjold-Class Stealth Fast Patrol Boats). Features triple S-Curves, CPI/SPI indices, WBS Gantt scheduling, EMV risk matrix, and VOR governance adhering to Edward Tufte Data-Ink principles.
- Technologies: Microsoft Fabric, Direct Lake, DAX, Earned Value Management (EVM), Edward Tufte Data-Ink UI.
- Business Impact: Delivers real-time cost and schedule visibility, EAC/ETC forecasting, and proactive risk governance for major engineering programs.
- GitHub Repository: PMO EVM Analytics in Microsoft Fabric Repo
- Live Demo: PMO EVM Analytics Demo
- Description: A machine learning model that predicts housing prices based on various features such as location, size, and amenities.
- Technologies: Python, scikit-learn, pandas.
- Business Impact: Helps real estate agents and buyers make informed decisions based on predicted market values.
- GitHub Repository: Housing Price Predictor Repo
- Live Demo: Housing Price Predictor Demo
- Description: An automation system that fetches weather data from APIs and provides forecasts.
- Technologies: Python, Flask, OpenWeatherMap API.
- Business Impact: Useful for businesses needing reliable weather inputs for operations.
- GitHub Repository: Weather Automation Repo
- Live Demo: Weather Automation Demo
- Description: An analytics tool that analyzes rental data to optimize pricing strategies.
- Technologies: R, ggplot2, Shiny.
- Business Impact: Aids car rental companies to increase revenue through data-driven insights.
- GitHub Repository: Car Rental Analytics Repo
- Live Demo: Car Rental Analytics Demo
- Description: A comprehensive report providing insights about various countries including economic and demographic statistics.
- Technologies: Python, Jupyter, Pandas.
- Business Impact: Useful for analysts and researchers in understanding global trends.
- GitHub Repository: Global Countries Report Repo
- Live Demo: Global Countries Report Demo
- Description: A data warehousing solution built using MS Fabric, enabling efficient data storage and retrieval.
- Technologies: MS Fabric, SQL, ETL processes.
- Business Impact: Enhances data accessibility for businesses requiring large datasets.
- GitHub Repository: MS Fabric Data Warehouse Repo
- Live Demo: MS Fabric Data Warehouse Demo
- Description: Interactive dashboards built with Power BI for visualizing business data.
- Technologies: Power BI, DAX, Data modeling.
- Business Impact: Facilitates data visualization and helps in strategic decision-making.
- GitHub Repository: Power BI Dashboards Repo
- Live Demo: Power BI Dashboards Demo
- Description: A series of complex data models developed in Excel that analyze various datasets.
- Technologies: Excel, VBA, Power Query.
- Business Impact: Provides businesses with robust data analysis tools right in Excel.
- GitHub Repository: Excel Data Models Repo
- Live Demo: Excel Data Models Demo