Francesco Ferrari

Data Scientist | fferrari@eng.ucsd.edu

ABOUT

I am currently a master student at UCSD studying Computer Science and Machine Learning.
Previously I was a data scientist at Microsoft Research. Before Microsoft acquired the previous company I was working for, SwiftKey, I was a software engineer in the Data Insights team.
For my undergrads I studied Electronic Engineering at University College London and worked as a part-time software engineer for Cisco Systems following a one year-long internship that I did with them in Silicon Valley.
I am passionate about startups, I have founded Play Palo Alto, a social startup that won the first prize at the Palo Alto App Challenge 2014.
I am also passionate about AI; I studied Supervised and Reinforcement Learning Master courses during my Undergrad at UCL and my thesis was focused on pattern recognition.
I am seeing myself in future mostly going forward with my passion for Artificial Intellingence. I truly enjoy taking new challenges and getting out of my comfort zone in order to learn.

DOWNLOAD CV

EDUCATION

MSc in Computer Science and Artificial Intelligence
University of California, San Diego

SEPTEMBER 2016 - Present

BEng in Electronic Engineering
University College London, UK
Awarded First Class Honors with Distinction

SEPTEMBER 2011 - MAY 2015

Intensive Course in Strategic Management
London School of Economics, UK
2 Months Course

AUGUST 2012

Liceo Scientifico G. Gandini
Lodi, Italy
5 years

AUGUST 2006 - JULY 2011

Wyandotte High School
Wyandotte (OK), US
1 year

AUGUST 2009 - JUNE 2010



WORK

Data and Applied Scientist
Microsoft Research, London

• Worked on user vectorization
• Projects involved events predictions, crowds estimations, demographic inference, etc.

MARCH 2016 - SEPTEMBER 2016

Software Engineer
Swiftkey, London

• Working in the Data Insights team
• Projects involve sentiment analysis, customer profiling, text-to-emoji translation, etc.

AUGUST 2015 - MARCH 2016

Full Stack Developer - Part-time
Cisco Systems, CA

• Working on the integration of different Cisco products using APIs and as full-stack developer for demos and proofs of concept.
• Improving searchability of Cisco research papers by building a Solr server

AUGUST 2014 - JUNE 2015

Full Stack Developer - Intern
Cisco Systems, CA

• Learnt web development skills: Built 4 web apps for Cisco throughout the year, all subdomains of cisco.com: dev-innovate.cisco.com, techfundfinance.cisco.com, ciip.cisco.com, research.cisco.com, developed using Django.
• Improved business and strategy skills while working with the senior director of Strategy and Planning.
• Built first public platform using new Cisco cloud technology running on top of Openstack
• Exposed to high level projects (one of my apps was presented during one of the executive keynotes at Cisco Live SF 2014 conference; ~25k attendees)
• Improved communication skills by interacting with executives and managers on a daily basis
• Improved team working skills by applying the concept of scrum meetings and agile development

AUGUST 2013 - JULY 2014



AWARDS

IET Prize for outstanding academic achievements
University College London, UK

JUNE 2015

Best Project of the Year in the UCL EE dept
University College London, UK

MAY 2015

Member of the UCL Dean's List
University College London, UK

MAY 2015

1st Prize Winner of Hack Palo Alto Competition
City of Palo Alto, CA

MAY 2014

Honorable Mention at Startup Weekend
San Francisco

SEPTEMBER 2013


SKILLS

Matlab


Python


Java


Apache Spark


Django


Full-Stack Web Development



PORTFOLIO

PLAY PALO ALTO

PlayCity is a social platform that aims to increase the level of civic engagement involving local businesses, charities and residents.

Back-end, APIs, Front-end

DEV/INNOVATE

/dev/innovate is Cisco’s new innovation acceleration program. The program includes an on-prem innovation pod, pre-configured with OpenStack, Cisco’s Virtual Internet Routing Lab (VIRL), and unlimited access to experiment with demos, early releases, and production products that span Cisco’s portfolio.

Back-end, Front-end

MONTE CARLO CONTROL FOR BLACKJACK

One of the projects done during my Reinforcement Learning course: teaching to a computer how to play Blackjack without any previous knownledge of the game by maximizing its policy.

Machine Learning



CONTACT

Email
francesco@swiftkey.com

Phone
+44 7476-620 620

SOCIAL LINKS