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Charis Kallepitis, Ph.D. has a strong background in data science and analytics, with experience in various industries. Charis is currently the Head of Data Science & Analytics at Penguin Random House Grupo Editorial since May 2022. Prior to this role, they served as a Senior Data Scientist from January 2021 to May 2022, where they developed end-to-end machine learning products and designed a price recommendation platform that resulted in a 10% increase in revenue performance.

Before joining Penguin Random House, Charis worked at Strands as a Data Scientist from October 2018 to January 2021. In this role, they focused on designing machine learning software solutions in the FinTech industry. Charis worked on multiple machine learning projects with banking and financial data, providing insights to consumers through online and mobile banking.

Charis also has experience in the healthcare industry. Charis served as an R&D Manager at Medco Advance from March 2017 to September 2018, where they were responsible for algorithm development using supervised and unsupervised learning and data analysis. Additionally, they were in charge of product development and managing a research team, with a focus on point-of-care medical devices, infectious diseases, translational medicine, and clinical diagnostics.

Earlier in their career, Charis was a Postdoctoral Researcher at Imperial College London from April 2016 to March 2017. Charis conducted research in vibrational spectroscopy applied to tissue engineering and regenerative medicine. Their work involved multivariable statistical analysis (chemometrics) and the development of mathematical models to analyze big datasets.

In summary, Charis Kallepitis, Ph.D. has extensive experience in data science and analytics, with expertise in machine learning, data analysis, and algorithm development. Charis has worked in industries such as publishing, FinTech, healthcare, and academia.

Charis Kallepitis, Ph.D., has an impressive education history. Charis began their academic journey in 2008 at the University of Bristol, where they earned a Bachelor of Science (BSc) degree in Physics in 2011. Seeking further expertise in their field, Charis pursued a Master of Science (MS) degree in Physics and Engineering in Medicine at UCL from 2011 to 2012.

Driven by their passion for research and innovation, Charis pursued a Doctor of Philosophy (Ph.D.) degree in Bioengineering and Biomedical Engineering at Imperial College London. Charis completed this comprehensive program from 2012 to 2016, further developing their expertise in their chosen field.

In addition to their higher education accomplishments, Charis Kallepitis has also obtained a certification as a Data Scientist with Python Track from DataCamp in July 2018. These additional credentials demonstrate their commitment to staying up-to-date with the latest technology and methodologies in their field.