Data Scientist@ECOWAS Bank for Investment and Development (EBID)
Verified
With over 8 years of experience in data science and econometrics, I have built a strong foundation in applying advanced analytics to solve real-world problems in energy, economics, and development. My background includes leading teams to develop predictive models that significantly enhance decision-making processes, notably improving model accuracy and driving profitability at institutions like EDF, where I contributed to a €5M profit increase.
My technical expertise spans a wide range of tools, including R, Python, SQL, and Git, as well as advanced statistical techniques like machine learning and deep learning. I’ve applied these skills to projects ranging from forecasting energy production and optimizing macroeconomic models to improving regional economic outlooks in West Africa.
A key achievement in my career includes successfully leading the implementation of innovative statistical models at EDF, resulting in a 50% improvement in prediction accuracy. I also excel in collaborative, multicultural environments, having worked with diverse teams to drive impactful, data-driven solutions.
This strong track record makes me well-equipped to take on freelance projects where my skills in data analytics, machine learning, and econometrics can be leveraged to solve complex challenges and deliver high-impact results for clients.More...