Key Performance Indicators (KPIs) play a crucial role in measuring the success of an organization, but often suffer from statistical bias, leading to incorrect assessments. As an expert in causal inference, I can diagnose these biases and provide solutions to correct them. By taking into consideration the potential sources of bias and confounding factors, I can evaluate the KPIs and suggest modifications that lead to more accurate and reliable measurements of success. This not only improves the KPIs but also ensures that the organization is making informed decisions based on accurate data.
Over the last 10 years, I taught statistics to more than 10,000 students from bachelor in economics to in-vivo lab research passing by managers. I'm available to teach and design specific classes for a wide range of people with no knowledge to advanced knowledge in statistics. Moreover, I can also prepare keynote speeches or specific topics to cover from 15 min to several hours.
List of courses I taught: Statistics I and II, Empirical Research, Data Science and Statistics, Economics for challenging times, biostatistics, Applied Statistics and Econometrics, Statistics and Econometrics II, Microeconometrics, Microeconomics 101.