Simone Appella has work experience as a Data Scientist at PrecisionLife since September 2022. Prior to that, they worked at the University of Bath from 2018 to 2022 as a PhD Candidate (EPSRC), focusing on their research. During their time at the University of Bath, they also worked as a Teaching Assistant from January 2019 to May 2022. Before joining the University of Bath, they completed an internship at the Karlsruhe Institute of Technology (KIT) from April 2016 to July 2016. In this role, they gained experience in statistical analysis and data mining, specifically using tools such as MongoDB and Linux.
Simone Appella's education history is as follows:
Simone Appella obtained a Doctor of Philosophy (PhD) degree in Numerical analysis from the University of Bath, where they studied from 2019 to 2022. Prior to that, from 2018 to 2019, Simone pursued an MRes degree in Statistical Applied Mathematics at the same institution.
Before joining the University of Bath, Simone Appella completed a Master's degree in Stochastic and Data Science from Università degli Studi di Torino, Italy, from 2016 to 2018. They also earned a Bachelor of Science (BS) degree in Physics from the same university between 2013 and 2016.
To further enhance their skills, Simone Appella has obtained various certifications. These include completing courses such as "Deep Learning A-Z™: Hands-On Artificial Neural Networks" from Udemy (obtained in May 2022), "Advanced SQL" from Kaggle (obtained in April 2022), and "Python for Data Science and Machine Learning Bootcamp" from Udemy (obtained in April 2022).
Simone has also acquired additional certifications in various areas such as SQL, geospatial analysis, Python programming, data science, and machine learning from institutions like Kaggle, Sololearn, Coursera, and MongoDB.
Overall, Simone Appella has a strong educational background in numerical analysis, statistical applied mathematics, stochastic and data science, and physics. They have also pursued certifications to expand their knowledge and skills in areas such as deep learning, SQL, Python, and data science.
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