Bereket Philipos, PhD

Bereket is a data scientist with over 10 years of experience in various roles spanning different aspects of the data ecosystem. He has a strong background in Python, R, SQL, PowerBI, and C++. He is passionate about using his skills to solve real-world problems. Bereket has also published Statistics and Machine learning papers in peer-reviewed journals.

In addition to his technical skills, Bereket is a strong communicator and educator. He has a knack to explain complex data concepts in a clear and concise way, and is very patient when supporting and helping new data professionals.

Here are some additional details about Bereket's experience and skills:

He has worked on a variety of data science and BI projects, including:
Developed machine learning models predicting future medical cost of patients
Developed natural language processing models to determine whether customer’s call into a call center has been resolved
Developed Power BI dashboards and reports for exposing machine learning results and also operational key business metrics.
Involved in data engineering, data exploration, regression and machine learning, AI fairness evaluation, and performance monitoring in various solutions.
Developed and maintains an R package implementing a Bayesian machine learning methodology

Bereket has a doctoral degree in Statistics with a focus in Bayesian machine learning, a masters degree in Actuarial science and a Bachelor's degree in Mathematics.

He is a member of the American Statistical Association and speaks and contributes regularly in conferences and meetups.