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Mathias Worren Brandal

@mathiasworrenbrandal

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I build AI-driven trading, forecasting, and power-market analysis systems.

Norway

Message

At Gnist Energi, I lead trading and analysis work across AI models, forecasting, and autonomous agents for automated trading in balancing and spot markets. I also lead Nordic Power analysis focused on fundamental drivers, algorithms, and forecasting.

I've built SQL databases connected to APIs, machine-learning price and volume predictions, decision engines for electricity trading, and algorithms to simulate asset income and create cash-flow statements. My work also includes power-market research, large-scale data preparation, and analysis in Python, R, Excel, Power BI, and SQL.

Experience

Work history, roles, and key accomplishments

Current

Head of Trading and Analysis

Current

Gnist Energi

Oct 2025 - Present (11 months)

Leading the development of AI models and forecasting models. Built autonomous agents for automated trading in balancing and spot markets, and leads the Nordic Power analysis team.

AI Forecasting Autonomous Agents Algorithm Development Nordic Markets Trading

Electricity Market Analyst

Gnist Energi

Jul 2025 - Oct 2025 (3 months)

Built an automated SQL database with connected APIs and used Python for price and volume predictions with machine learning. Developed AI-based decision engine and algorithms for cash flow statements.

SQL Python Machine Learning AI Algorithm Development Financial Strategy

Customer Advisor

DNB

Apr 2024 - Sep 2024 (5 months)

Advised clients on personal finance issues over the phone in Norwegian and English, analyzing needs and providing effective service.

Customer Service Financial Advisory Communication Skills

Team Leader and Financial Advisor

Økonomiformidlingen

Jan 2023 - Jun 2024 (1 year 5 months)

Led a team of 7 financial advisors, analyzed client documents, negotiated with creditors, and carried out budgeting tasks.

Team Leadership Financial Advisory Negotiation Excel Budgeting

Data Analyst

Anticimex

Jun 2023 - Aug 2023 (2 months)

Optimized data structure before ERP restructuring, gathering and cleaning customer data and performing analyses.

Data Analysis Data Cleaning ERP Data Structuring

Research Assistant

Norwegian School of Economics

Jan 2025 - Present (1 year 8 months)

Conducted research on power markets, analyzing datasets with Python and preparing large datasets. Used Excel, Power BI, and R for analyses.

Python Excel Power BI R Data Analysis Market Research

Education

Degrees, certifications, and relevant coursework

Norwegian School of Economics (NHH)

Master's degree, Energy, Natural Resources and the Environment

2025 -

Currently pursuing a Master's degree in Energy, Natural Resources and the Environment at the Norwegian School of Economics, expected to complete in May 2027.