John Garcia
About John Garcia
John Garcia is a System Analyst at Kite Pharma, where he has worked since 2019. He holds a Master of Science in Mathematics from Tarleton State University and has experience in data verification, teaching, and implementing machine learning algorithms.
Work at Kite Pharma
John Garcia currently serves as a System Analyst at Kite Pharma, a position he has held since 2019 in Santa Monica, California. In this role, he applies his analytical skills to enhance data management and operational efficiency. Prior to his current position, he worked as a Data Verifier at Kite Pharma from 2018 to 2019 in El Segundo, California. His experience at Kite Pharma has allowed him to contribute to various projects and initiatives that leverage data for improved decision-making.
Education and Expertise
John Garcia earned a Master of Science in Mathematics from Tarleton State University, completing his studies from 2012 to 2013. His educational background provides a strong foundation in quantitative analysis and problem-solving. Additionally, he has utilized Azure SQL for data querying and employs Tableau for data visualizations, enabling him to derive insights from complex datasets. His expertise also includes implementing machine learning algorithms on datasets sourced from Kaggle using R.
Background
Before transitioning to his current role, John Garcia gained valuable experience in education. He worked as a High School Teacher at Conejo Valley Unified School District from 2016 to 2018, where he taught at-risk students. This experience in teaching has contributed to his ability to communicate complex concepts effectively and engage with diverse audiences. He also has experience working with at-risk students at a charter school in Corpus Christi.
Achievements
During his academic career, John Garcia worked on graduate school projects that involved analyzing datasets with over one million rows. This experience has equipped him with the skills necessary to handle large volumes of data and draw meaningful conclusions. His work with machine learning algorithms and data visualization tools demonstrates his commitment to leveraging technology for data-driven insights.