In 2010, a couple years after the financial crash, I decided to follow a dream. The dream was to make a living playing a game I love, Poker. I did just that, while living on a beach in Baja. Making a living playing poker taught me things I could not have learned any other way and I will use what I’ve learned while embarking on a new path. Data Science jobs are now the most in demand jobs in the tech industry and require a very similar skill set as on-line poker: An understanding of statistics, and experience working with databases and large amounts of data. Now I will be using those skills to make my clients money, rather than earning it at the poker tables. That may not be quite as fun, but I’m still very excited about the opportunities. This blog will focus on that transition, along with anything else that I find amusing. Enjoy!
Program Competencies: R (dplyr, plyr, tidyr, ggplot2, zoo, xts, scales, seas), Python (pandas, numpy, skikit-learn, matplotlib.pyplot, math, requests, re, sys, collections, datetime, dateutil, sqlite3, scipy, beautifulsoup), SQL, Github, WordPress, APIs, web scraping, Salesforce, Zoho, Zapier, Twilio
Quantitative Competencies: Data Cleaning, Data Visualization, Data Analysis, Machine Learning, Linear Regression, Logistic Regression, Decision Trees, Random Forest