With a background in full stack web development and data science, I'm capable of producing results that can help to solve your business problems through analytics, visualization, and or machine learning. The core tools of my work include Python, SQL, Spark, Jupyter, and Javascript. I'm a dedicated partner. I will work with you and your team to identify root causes and provide high quality solutions!
My passion for computer science began in 2014, and I also started my MBA, then graduated with a 4.0 GPA in 2015.
In 2016, I started a Web Development Certificate at UC Davis learning JavaScript, HTML/CSS, and MySQL building my first website!
Then in July 2017, wanting to take my skills further, I decided to enroll in the UCLA Extension Full Stack Developer certificate program and was accepted.
Starting in August 2017, I began my programming studies at UCLA Extension pursuing the Full Stack Developer certificate. That experience was incredible as I learned to create VR, MERN, MySQL, and JavaScript web applications while, obtaining a client for our Google beacon technology project.
We were also lucky enough to pitch out Google beacon technology project to the Walt Disney Concert Hall! This was a pivotal time as it helped me to learn about business needs and technical solutions!
After UCLA Extension graduation, and a lot of networking, I was able to work for two startups, one was a YCombinator, building Vue components, managing AWS EC2 instances, S3, security, permissions, VPC, coding with an open banking API, Mongo and much more!
Finally, from earlier networking, I met an incredible and talented Data Engineer, Evan, who told me about the internal opportunity at Netflix of which I applied for and got in, as a Data Specialist, for the Content Knowledge Graph team!
Starting work at Netflix required me to level up my skills in SQL, and Python which was challenging and rewarding! Then starting in 2019, wanting to take my skills further, I completed necessary prerequisites at Santa Monica College to start a Computer Science Masters and a few Udacity Nanodegree's along the way!
In early 2021, I applied to Loyola Marymount University and was accepted to their Computer Science Masters program which I began in the Fall of 2021, all while continuing to work at Netflix.
Currently, I am an Analytics Engineer at Netflix on the Content Knowledge Graph team in the Data Science & Engineering division! Here, I perform data engineering, data analyst and specialist based functions, working with Python, PySpark, SQL (Trino or Snowflake), building ETL pipelines, scheduling audits, and managing a data labeling external workforce.
I also perform analytical functions using machine learning, data wrangling, and investigative research, along with data visualizations using Plotly, Tableau and many other visualization tools. In this position, I work with data scientists, stakeholders, and partners, along with our ML and data engineers on the CKG team, all of which is the most amazing part of this role! We solve big challenges to provide our Netflix teams valuable data with insights!
As of August 2022, I've received a certificate of Applied Data Science from MIT.
Longer term, I am pursuing consultant work such as helping local businesses with their data science development to identify root causes of business problems to then build high quality and sustaining solutions!