Master's in Data Science
USF - University of San Francisco
Deep Learning, Machine Learning, Forecasting, Statistics, Spark, Computational Linear Algebra, Design of Experiments
About Me
I'm currently finishing my Master's of Data Science (MSDS) at the University of San Francisco. My current studies focus on machine learning, distributed computing, and deep learning.
I am currently working as a Data Science Research Intern in the cyber security industry at Endgame. I use machine learning to detect hidden computer viruses, and set up specialty data pipelines to ingest millions of malicious files each day
I've also previously had an Data Science internship at a brand marketing firm AKQA. Designed proof-of-concept machine learning products for next-gen service offerings.
Previously I've been a Analytics Manager in PwC Consulting working with Fortune 500 clients to provide analytic insights using python and SQL to cut through billion-row databases.
And before that I was a Lead Structural Engineer in Rolls Royce designing custom materials and parts for supersonic + space flight.
My Outputs
My Inputs
USF - University of San Francisco
Deep Learning, Machine Learning, Forecasting, Statistics, Spark, Computational Linear Algebra, Design of Experiments
UCLA - University of California in Los Angeles
Computational Stress
Finite Element Modeling
Numerical Approximations.
UCLA - University of California in Los Angeles
Mechanism Design
Manufacturing
General Assembly SF, Coursera
GA Data Science
Coursera Stanford Machine Learning
Coursera Stanford Deep Learning
How to reach me