Andrew Castillo, PhD
About Andrew Castillo, PhD
Andrew Castillo, PhD, is a Data Scientist with expertise in machine learning and a strong background in mathematics. He has worked in various academic and industry roles, including positions at CoverMyMeds and Texas A&M University.
Work at CoverMyMeds
Andrew Castillo currently holds the position of Data Scientist at CoverMyMeds, a role he has occupied since 2022. Prior to this, he served as an Associate Data Scientist for five months in 2021. His journey at CoverMyMeds began with an internship in 2021, where he gained valuable experience in data science. The company is known for its innovative solutions in the healthcare sector, and Andrew contributes to various projects utilizing his expertise in machine learning and data analysis.
Education and Expertise
Andrew Castillo earned his Doctor of Philosophy (PhD) in Mathematics from The Ohio State University, completing his studies from 2015 to 2020. He also holds a Master's degree (M.S.) and a Bachelor's degree (B.S.) in Mathematics from Texas A&M University, where he studied from 2011 to 2015. His educational background provides a strong foundation in mathematical concepts, which he applies in his work as a data scientist. He possesses a diverse skill set in machine learning, including regression, classification, clustering, and natural language processing.
Background in Academia
Andrew Castillo has a significant background in academia, having worked as an Adjunct Lecturer of Mathematics at Ohio Dominican University for four months in 2019. He also served as a Lecturer of Mathematics at The Ohio State University in 2021. Additionally, he was a Graduate Research and Teaching Assistant at The Ohio State University from 2015 to 2020. His roles in academia have helped him develop strong communication skills, particularly in conveying complex mathematical concepts to students.
Technical Skills and Tools
Andrew Castillo is proficient in a variety of programming languages and tools essential for data science. His technical skill set includes LaTeX, Python, SQL, PySpark, and Jupyter Notebook. He is experienced with machine learning libraries such as Scikit-Learn, Keras, and TensorFlow, as well as data manipulation and visualization tools like pandas, NumPy, Matplotlib, and Seaborn. Additionally, he utilizes technologies such as Jenkins, Docker, Azure, and DataBricks in his projects, showcasing his ability to handle both structured and unstructured data.
Mentoring and Community Engagement
Andrew Castillo actively engages in mentoring individuals who are new to the field of data science. He is also an enthusiastic member of the Texas A&M Aggie and Ohio State Buckeye alumni networks, seeking to connect with fellow alumni. His commitment to mentoring reflects his dedication to fostering growth and knowledge sharing within the data science community.