Location: San Francisco, CA
Remote: Yes
Willing to relocate: NY or LA
Languages: Javascript · Python · Java
Technologies: SQL · MongoDB · Pandas · NumPy · SciPy · Node · Angular · React · Git · HTML · CSS · Unix Shell · AWS
Résumé/CV: https://jameskao.me/resume.pdf
LinkedIn: https://linkedin.com/in/jameskao1
Github: https://github.com/bestkao
Email: [email protected]
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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 developer at Snapcard working with Bitcoin payments on the Node/Angular stack.
Some current/past projects include designing and building the site and registration for HackingEDU, using machine learning on S&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 fintech, let's get in touch!
Willing to relocate: NY or LA
Languages: Javascript · Python · Java
Technologies: SQL · MongoDB · Pandas · NumPy · SciPy · Node · Angular · React · Git · HTML · CSS · Unix Shell · AWS
Résumé/CV: https://jameskao.me/resume.pdf
LinkedIn: https://linkedin.com/in/jameskao1
Github: https://github.com/bestkao
Email: [email protected]
-----
New CS grad data hacker here. Wrangling data and hacking out RESTful APIs is my trade. Previously interned as a full stack web developer at Snapcard working with Bitcoin payments on the Node/Angular stack.
Some current/past projects include designing and building the site and registration for HackingEDU, using machine learning on S&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 fintech, let's get in touch!