I am a data analyst with two years’ experience manipulating, analyzing, and reporting on data. I am currently employed by The Wonderful Company where I am part of the Ops team for the company’s Education arm. The mission of Wonderful Education is to increase educational attainment in California’s Central Valley.
My role within our organization is to perform quick-turnaround analytics of student and educator performance using semi-structured data. Python, Tableau, and concepts from relational database theory are my primary tools.
Prior to my career transition into analytics, I worked as a mechanical engineer for four years. In 2016 I returned to school to obtain my MBA. In business school I gained a new appreciation of what data abundance means for society and how it is transforming business. Impressed with the opportunities created by the “big data” phenomenon, I pursued specialized technical training in the area and discovered a passion for the subject. I began working with data full-time in June of 2017.
To facilitate my career transition into this emerging field, I’ve completed formal computer science courses through Georgia Tech and informal credentials through various online learning platforms. My data science self-education process is ongoing and supports my long-term aspiration of working as a data scientist.
Summa Cum Laude
Voted the MBA program’s 2018 “Outstanding Graduate” by business school faculty
Cal State University Bakersfield
BS in Mechanical Engineering (2013)
Computer Science minor, Mechatronics concentration
Cal Poly, San Luis Obispo
Data Analyst Nanodegree
Python, SQL, Tableau, Inferential Statistics
Data Analyst (2018 - Present)
The Wonderful Company
Quick-turnaround analytics and reporting on semi-structured data using Python and Tableau
Design Engineer (2015 - 2017)
Western Power Products
Product Development Engineer (2013 - 2015)
ITT Aerospace Controls
Mechanical Design Intern (2012)
ITT Aerospace Controls
Engineering Co-op (2011)
Parker Fluid Systems Division
- Applied Plotting, Charting & Data Representation in Python (2020, U of Michigan via Coursera)
- Introduction to Data Science in Python (2019, U of Michigan via Coursera)
- How Google does Machine Learning (2018, Google Cloud via Coursera)
- Business Metrics for Data-Driven Companies (2018, Duke U via Coursera)
- Mastering Data Analysis in Excel (2018, Duke U via Coursera)
- The Complete SQL Bootcamp (2018, Udemy)
Managing Big Data with MySQL (2018, Duke U via Coursera)
Database Systems Concepts and Design (2019, Georgia Tech)
Masters-level course in database application development