Victor Ortiz
About Victor Ortiz
Victor Ortiz is a Data Analyst currently employed at Tatari in Los Angeles, California, where he has worked since 2021. He holds dual Bachelor of Arts degrees in Mathematics and Philosophy from Amherst College and has experience as a teaching assistant and volunteer in Japan.
Work at Tatari
Victor Ortiz has been employed at Tatari as a Data Analyst since 2021. His role involves analyzing data to support business decisions and improve operational efficiency. He works in Los Angeles, California, contributing to the company's data-driven strategies. His experience in data analysis is complemented by his educational background and previous roles in the field.
Education and Expertise
Victor Ortiz holds two Bachelor of Arts degrees from Amherst College, one in Mathematics and the other in Philosophy, both completed from 2013 to 2017. He has also completed multiple online courses in Python and information technology, enhancing his technical skills. His educational background provides a strong foundation for his work in data analysis.
Background
Before joining Tatari, Victor Ortiz worked as an online English teacher and part-time sales associate. He participated in the Correlation One Data Science for All program from 2020 to 2021, where he gained valuable experience in data science. Additionally, he served as a DS4A Teaching Assistant at Correlation One since 2021, focusing on teaching data science skills to under-represented groups.
Volunteer Experience
Victor Ortiz participated in a two-year volunteer mission in Japan, where he served as a trainer and mentor to new missionaries. During this time, he learned Japanese, which reflects his commitment to cultural exchange and education. This experience has contributed to his personal and professional development.
Previous Work Experience
Prior to his current position at Tatari, Victor Ortiz worked at Anaplan as an Anaplan For All Participant for one month in 2021. He also held a position at Correlation One as a participant in the Data Science for All program, where he developed foundational skills in data science. These roles have equipped him with diverse experiences in the field.