Jeremy Watkins
About Jeremy Watkins
Jeremy Watkins is a Senior Data Scientist specializing in Machine Learning at Komodo Health in San Francisco, California, with a strong background in data science and engineering roles at various companies.
Current Title and Role
Jeremy Watkins is currently serving as a Senior Data Scientist, specializing in Machine Learning, at Komodo Health in San Francisco, California. His current role focuses on developing and scaling Big Data and Machine Learning products aimed at improving patient outcomes and reducing the global disease burden.
Previous Work Experience
Jeremy Watkins has a diversified professional background spanning multiple roles in the data science and engineering fields. He worked as a Data Scientist at Kaiser Permanente in Pasadena, CA, in 2018 for six months. Prior to this, he was a Graphics Engineer at Intel Corporation in Folsom, CA, from 2015 to 2017. He also interned as a Manufacturing Engineer at UTC Aerospace Systems in Fairfield, CA, for three months in 2014 and served as a Tutor at the UC Davis Student Academic Success Center for two months in 2014.
Educational Background
Jeremy Watkins holds a Bachelor's degree in Electrical Engineering from the University of California, Davis. He further enhanced his expertise by pursuing a Master's degree in Financial Mathematics from UCLA, equipping him with a strong foundation in both technical and financial aspects of data science.
Technical Skills and Tools
Jeremy Watkins is proficient in a wide range of technical skills, including data cleaning, web scraping, machine learning, time series modeling, web-based applications, data visualization, optimization, and using big data tools. He regularly employs advanced libraries such as PySpark, TensorFlow, and Keras in his projects. He is also adept in both R and Python, utilizing libraries like dplyr, stringr, numpy, pandas, and scikit-learn for data manipulation and machine learning.
Achievements in Data Science Competitions
Jeremy Watkins is ranked in the top 2% of Kaggle worldwide, showcasing his exceptional skills in data science competitions. This ranking reflects his proficiency and dedication to the field, as Kaggle is a platform known for its rigorous and competitive environment for data scientists.