Timo Sivula
Chairman & Senior Strategic Advisor
Finland
Summary
🤩
Rockstar🎓
Top SchoolTimo Sivula is a senior strategic advisor and chairman with over 20 years of P&L and operational leadership, specializing in energy transition, data centers, and large-scale infrastructure programs. He combines hands-on greenfield project development—having built a 20+ project solar and BESS pipeline—with interim leadership of Finland’s largest hyperscale data centre programme, coordinating 100+ specialists. A proven turnaround and scaling executive, he restored manufacturing profitability, launched international technology ventures across four continents, and secured major public-private financing for a €75M sports mega-project. He applies Lean Six Sigma and structured governance to drive measurable operational improvements and investor-ready reporting. Beyond executive strategy, he has practical data science exposure, contributing a Bayesian diabetes demo to an open-source Python repo, reflecting a quantitative curiosity uncommon at his seniority. Based in Finland, he blends engineering education and reserve officer training with a track record of translating technical complexity into commercial results.
10 years of coding experience
23 years of employment as a software developer
Master of Science (M.Sc.EE), International Marketing and Business Strategy, Master of Science (M.Sc.EE), International Marketing and Business Strategy at Teknillinen korkeakoulu-Tekniska högskolanAir Force Signal, Air Force Signal at Reserviupseerikoulu - Reservofficersskolan - Reserve Officer SchoolMatriculation Examination, Matriculation Examination at Karleby Svenska Gymnasium
English, Finnish, Swedish, German, Chinese
Github Skills (7)
logistic-regression10
bayesian10
python10
bayesian-inference10
data-analysis10
scikit8
scikit-learn8
Programming languages (6)
Github contributions (5)
avehtari/BDA_py_demos
Nov 2015 - Oct 2018
Bayesian Data Analysis demos for Python
Role in this project:
Data Scientist
Data ScientistContributions:51 commits, 5 PRs, 59 pushes in 2 years 11 months
Contributions summary:Timo added a demo for diabetes using the pystan library, which is a Bayesian inference tool. They loaded and preprocessed diabetes data and used the data to train a logistic regression model with a student-t prior. This indicates the user was focusing on building a Bayesian model for the diabetes dataset, demonstrating proficiency in data analysis and model implementation.
data-analysispythonbayesian-inferencestanbayesian-statistics
avehtari/loocv_uncertainty
Feb 2017 - Sep 2020
Contributions:1 release, 165 commits, 2 pushes in 3 years 7 months
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