Location: San Francisco, CA
Remote: Sure, why not?
Willing to relocate: NY/LA/Seattle
Languages: Javascript · Python · Java
Technologies: SQL · MongoDB · Pandas · NumPy · SciPy · Node · Angular · React · Git · HTML · 
CSS · Shell Scripting · AWS
Résumé/CV: <a href="
LinkedIn: <a href="
Github: <a href="
Email: REDACTED_EMAIL
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New CS grad data hacker here. Wrangling data and hacking out RESTful APIs is my trade. Previously interned as a full stack web dev at Snapcard(<a href=") building Bitcoin payments on the Node/Angular stack.
Some current/past projects include designing and building the site and registration for HackingEDU(<a href="), using machine learning on S&amp;P500 fundamentals to recommend which stocks to invest in, exploratory data analysis on Prosper loan data, auditing/cleaning up OpenStreetMap data, and investigating how the incidence of rain affects NYC subway ridership to predict future ridership.
I'm mostly self taught on manipulating and drawing inferences from data; now looking to put it into practice and help drive product development.
Should the work entail any element of data science or API hacking, let's get in touch!