Mission: To use data science and machine learning to filter the signal out of the noise and improve our personal decision making
Rising senior studying Computer Science, interested in data science and machine learning. Background working at two venture-backed high growth startups in Los Angeles as well as international experience in China working for a Fortune 500. Additional experience starting and running a business with 8 full-time employees. Written work has appeared in Forbes, Huffington Post, and Startup Grind.
Working as a data scientist intern I've had the opportunity to build:
> Machine learning models with Python
> Time series forecasts using Prophet
> Actionable SQL dashboards in Periscope
> ETL pipelines using Airflow
> Dimension and fact tables in Postgres
> KPI design and SQL reports to track performance
Throughout my experience, I've also had the opportunity to engage with a variety of business stakeholders focused on introducing new processes as a result of insights extracted from deep analysis. Additionally, I've lead key data initiatives within organizations in the form of SQL workshops, office hours and tech talks to help organizations become more data driven & data literate.
Checkout my NOW tab to find out what I'm doing right now.
Python, SQL, Matlab
Python and Knime
Python, Postgres, SQL
Last updated: September, 2018
The easiest way to see what I'm currently doing is to checkout my personal dashboard.
I've just recently wrapped up my data science internship in Los Angeles and am now back at Queen's University for my senior year studying Computer science. I'm mostly focused on recruiting and interview prep for a full time data science role after I graduate in April 2019.
This school year I'll also be doing some research in the areas of anomaly detection, which I'll be fleshing out as the fall semester unfolds.
I'm also doing a deep dive into Data Science, Machine Learning and Statistics. Here are some books I'm reading:
Python for Data Analysis: Data Wrangling with Pandas, NumPy, and IPython
The Visual Display of Quantitative Information/p>
Hands-On Machine Learning with Scikit-Learn and TensorFlow: Concepts, Tools, and Techniques to Build Intelligent Systems
Python Machine Learning, 1st Edition
Superintelligence: Paths, Dangers, Strategies
Weapons of Math Destruction
Big Data: A Revolution That Will Transform How We Live, Work, and Think
Turing: Pioneer of the Information Age
The Book of Why: The New Science of Cause and Effect
Visual Explanations: Images and Quantities, Evidence and Narrative
SQL Performance Tuning
SQL Cookbook: Query Solutions and Techniques for Database Developers
Code: The Hidden Language of Computer Hardware and Software
The Second Machine Age: Work Progress and Prosperity in a Time of Brilliant Technologies
This page is inspired by Derek Sivers and the /now movement.