Location: Boston
Remote: Sure
Willing to relocate: Yes
Technologies: R, Python, Machine Learning, Web Apps, Flask, Android Native
Résumé/CV:
http://saharmassachi.com/resume
Email:
[email protected]##What I'm looking for
I'm a developer / data scientist hybrid with a Masters and a background from Wikimedia (Wikipedia).
Right now, I'm focusing on learning best practices for software engineering -- with a side of machine learning. With the right team, I'd also love to work on application security, data science, and deep backend/OS development. The most important thing for me is putting roots down, committing to something for the long-haul, and having an enjoyable and stimulating time doing good work with good colleagues.
##A bit more about me:
I founded a technical startup, joined as an early co-founder of another, and most importantly, served as the data scientist and engineer for the fundraising team at Wikimedia. Those banners you sometimes see on Wikipedia asking for money -- I wrote the backend to analyze, collate, validate, and explain the results to the non-technical staff who tested them. Now, for the first time, the Wikimedia Fundraising team has a clean and visually attractive record of the results and lessons of almost every test run since 2010 till this day.
##What I'm looking for
I'm a developer / data scientist hybrid with a Masters and a background from Wikimedia (Wikipedia). Right now, I'm focusing on learning best practices for software engineering -- with a side of machine learning. With the right team, I'd also love to work on application security, data science, and deep backend/OS development. The most important thing for me is putting roots down, committing to something for the long-haul, and having an enjoyable and stimulating time doing good work with good colleagues.
##A bit more about me:
I founded a technical startup, joined as an early co-founder of another, and most importantly, served as the data scientist and engineer for the fundraising team at Wikimedia. Those banners you sometimes see on Wikipedia asking for money -- I wrote the backend to analyze, collate, validate, and explain the results to the non-technical staff who tested them. Now, for the first time, the Wikimedia Fundraising team has a clean and visually attractive record of the results and lessons of almost every test run since 2010 till this day.