AI in Business Strategy
A featured video exploring how artificial intelligence is reshaping business strategy, decision-making, and competitive advantage.
I am Frank Ellingsen, bridging financial administration, engineering project control, and modern business intelligence. Transforming operational data into reliable EVM forecasts, cost/schedule risk tracking, and executive analytics.
With a formal background in Finance & Business Administration, I specialize in the intersection of financial governance, engineering project tracking, and modern data architecture. My focus is delivering high data-ink reporting—eliminating visual noise and surfacing critical variances before they impact the bottom line.
Earned Value Management (CPI, SPI, EAC, ETC), cost variance analysis, and Gantt milestone tracking.
End-to-end data modeling, DAX measure engineering, Power BI dashboards, and Power Query ETL.
Analytical workloads in DuckDB & SQL, local transactional tables, and automated Python pipelines.
Multi-agent topic research, automated report synthesis, and local-first LLM orchestration.
Real-world implementations across project controlling, earned value management, business intelligence, and AI systems.
A featured video exploring how artificial intelligence is reshaping business strategy, decision-making, and competitive advantage.
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.
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 price zones.
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, 19 Work Package milestone Gantt scheduling, physical drydock site execution tracking, IFRS 15 / IAS 37 revenue recognition & onerous contract provisions, 5x5 quantitative EMV risk matrix, and Variation Order Request (VOR) governance.
A local-first project controls whiteboard that turns rapid brainstorming into structured project plans. Connect sticky notes into dependencies, organize work into swimlanes, and analyze Gantt schedules, critical paths, 5x5 risks, and Earned Value Management metrics in one interactive workspace.
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 dynamic triple S-Curve trajectory modeling, cost & schedule variance tracking (CPI/SPI/EAC/ETC), interactive WBS Gantt scheduling, EMV risk matrix heatmaps, and Variation Order Request (VOR) governance strictly adhering to Edward Tufte's Data-Ink Ratio principles.
An interactive Earned Value Management (EVM) and Gantt control system designed for industrial offshore construction. Features real-time cost variance (CV), schedule variance (SV), and earned schedule (ES) analytics with direct S-curve labeling and strict Edward Tufte visual design principles.
An autonomous multi-layer AI architecture (Planner → Researcher → Synthesizer) that conducts in-depth topic investigations, aggregates multi-source evidence, evaluates source credibility, and generates structured executive intelligence dossiers.
An interactive financial management interface monitoring project lifecycle budgets, burn rates, and variance metrics. Utilizes cost performance indicators (CPI) and schedule performance indicators (SPI) to project Estimate at Completion (EAC) and Estimate to Complete (ETC).
A full-stack business intelligence solution transforming car rental fleet operations through advanced analytics, utilization tracking, pricing strategy evaluation, and predictive demand modeling.
Live flight monitoring web application tracking international and domestic departures, arrivals, terminal statuses, and real-time scheduling across Norwegian airports.
Supervised regression pipeline modeling property valuations based on geographic indicators, square footage, historical sales, and property features to assist data-driven pricing assessments.
Cross-country exploratory data dashboard evaluating global demographic, GDP, healthcare, and educational indicators with interactive geographical breakdowns.
Automated weather ingestion pipeline querying meteorological APIs, transforming observational feeds, and delivering structured operational forecasts.
Structured tournament schedule and simulation matrix built in Excel featuring automated match-pathing, venue schedules, and dynamic group stage tracking.
A self-paced learning collection covering the foundations of modern AI, from machine learning and deep learning to transformers, autonomous systems, and agentic AI. Includes ten focused reports designed to build a practical AI foundation.
Quick access to external repositories, specialized interactive tools, and showcase profiles.
Portfolio of verified business intelligence projects and community challenges.
Open Maven Profile →Source code repositories, automated pipelines, notebooks, and models.
github.com/Frank-Ellingsen →Lightweight JavaScript application demonstrating clean DOM state management.
Open Calculator App →Experimental web dashboard exploring interactive charts and data visualizations.
Open Plotly App →