Provide forestry-related data analytics, revenue forecasts using statistical models, monitor and analyze forest products markets. Develop and maintain a suite of data products to provide data-driven recommendations.
Business Consultant
IT/Analytics Consultant
Hello! I’m Kaase Gbakon.
I am a seasoned business professional with a passion and experience in deploying advanced analytics for data-driven strategy development and business opportunity framing.
My clients know they can trust my advice because it is established by coupling my technical and business domain knowledge to produce best-in-class analytic insights and value-accretive commercial intelligence. As a result, I have received recognition as a five-time CEO award recipient for my roles in projects with a combined value of more than $1 billion.
I regularly speak at international conferences and have authored several papers which are listed on some of the most comprehensive database resources on oil and gas and energy analytics. I have also developed and taught courses in project economics, risk modeling, and business analytics to 400+ persons.
I am in the final stages of my interdisciplinary Ph.D. in Petroleum Economics, Management, and Policy, focusing on Energy Systems Modeling. I have previously obtained three different Master's degrees and a Bachelor's in Electrical and Computer Engineering.
Statistical Analyses | Regression | Classification | Time Series | Neural Networks | Machine Learning | Decision Trees | Stochastic Optimization | Monte Carlo Simulation
Asset Valuation | Investment Appraisal | Risk Modeling | Cost Estimation
Project Economic Modeling | Data Analysis in Excel | Communicating with Data | Financial Analytics
Provide forestry-related data analytics, revenue forecasts using statistical models, monitor and analyze forest products markets. Develop and maintain a suite of data products to provide data-driven recommendations.
Develop data driven and evidence-guided advisory support and market intelligence to the C-suite on critical commercialization requirements.
Provide modeling expertise in developing long-term corporate strategy. Combine data analytics and domain knowledge for business development, complex corporate strategy problems, new opportunities evaluation, and business process assessments
Developed and managed a library of project economics and financial models for asset portfolio valuation. Render analytics guidance to teams negotiating value-maximizing business opportunities.
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