I am a Data Scientist at Welligence. I work on managing the data science pipeline and building a state of the art analytics platform to forecast oil and gas production.
Over the past 5+ years, having worked as a teaching assistant developing a machine learning course for undergraduates and as a data scientist at a start-up, I have had the unique opportunity to work on every facet of the data science pipeline.
Starting with the sometimes mundane but also the most fundamental tasks, I work on developing automated integrity checks, data cleaning scripts, and exploratory data analysis (R tidyverse, Postgresql, and a splash of the very occasional python).
This work naturally feeds into machine learning and some of the more fun aspects of data science. I work on developed proprietary machine learning packages for Welligence using R and have used some of the more commonly used packages for deep learning such as Keras, sci-kit learn, and caret.
Master of Science in Engineering, Data Science, 2018
University of Pennsylvania
BEng in Electrical and Electronics Engineering, 2016
PES Institute of Technology