Paolo Massimi's Email Addresses & Phone Numbers

Lecturer @ 2009-2010 AHPCRC (Army High Performances Computing Research Center) Lectured an undergraduate class of 30 students on "Introduction to numerical methods" (40 hours). Led a student summer interim project From July 2009 to September 2010 (1 year 3 months) Director of Data Science @ Airbnb I currently lead the data science teams in charge for supply...

Lecturer @ 2009-2010 AHPCRC (Army High Performances Computing Research Center) Lectured an undergraduate class of 30 students on "Introduction to numerical methods" (40 hours). Led a student summer interim project From July 2009 to September 2010 (1 year 3 months) Director of Data Science @ Airbnb I currently lead the data science teams in charge for supply quality, hosts acquisition and retention for Airbnb marketplace. San Francisco Bay AreaHead of Data Science for Marketplace Control & U4B @ Uber Led the following teams (60+ Data Scientists):- Marketplace Experimentation- Marketplace Health and Control- Forecasting- Fares- Global Intelligence - U4B From February 2019 to December 2019 (11 months) San Francisco Bay AreaHead of Data Science and Product Analytics, Rider & U4B @ Uber Managed 40 data scientists distributed over 6 teams located in San Francisco, Seattle, and Bangalore covering product analytics, experimentation and machine learning. Area of work:- Rider Growth (Acquisition, Engagement, Loyalty, Segmentation,..)- Rider Experience (Mobile analytics, Pick Up experience, Hotspot Generation, ETD modeling, product reccomandations,..)- Shared Rides (Matching optimization, rider and driver experience, pickups recommendations, ...)- Verticals (Airport, Scheduled Rides, Events, Premium rides)- Rider Global Access (UberLight, m.uber,...)- Uber for Business From January 2017 to February 2019 (2 years 2 months) San Francisco Bay AreaDirector of Algorithms and Analytics @ Stitch Fix - Hired and managed a team of 20+ Data Scientists- Created dashboard and reporting solution for Merchandise and Finance departments- Designed and implemented cloud data warehouse solution - Deployed advanced analytic for intelligent planning and allocation processes - Designed and led the development of an innovative Inventory Management solution for Stitch Fix operation- Deployed machine learning models to set merchandise pricing and drive weekly clearance processes- Analysis of customer feedbacks and internal data to improve product and maximize revenues From May 2014 to January 2017 (2 years 9 months) San Francisco Bay AreaDirector of Data Science @ Lattice Engines Company Overview:Lattice Engines is the leader in B2B sales intelligence software enabling Fortune 500 companies to Sell Smarter and achieve a 6-14% increase in sales within one year of deployment through Intelligent Targeting, Contextual Conversations and Measurable Execution. Lattice Engines software integrates internal, external and Lattice Engines proprietary data to identify customer patterns and trigger events that influence buying decisions. Our software is powered by predictive analytics, advanced mathematical algorithms tuned specifically to B2B sales and marketing objectives. Our solutions integrate seamlessly with existing CRM and Marketing Automation systems to deliver B2B sales intelligence directly to your reps From August 2012 to May 2014 (1 year 10 months) San Francisco Bay AreaSenior Data Scientist @ Lattice Engines - Lead data-driven analytical initiatives for SaaS solutions.- Data management and data manipulation- Performed customer profiling, market research, segmentation, statistical modeling and forecasting - Implemented Feature and Model Selection Algorithms using Information Theory- Improved modeling capabilities of Lattice solution enabling multiple machine learning algorithms and providing specific metrics to evaluate their performance From March 2011 to January 2013 (1 year 11 months) San Mateo, CaliforniaPostDoctoral Research Associate @ Stanford University Worked with the Office of Naval Research (ONR) on high performance acoustic and elasto-acoustic modeling approaches and computational algorithm. Sponsored by the grant “High-resolution Computational Methods for the Solution of Direct and Inverse Acoustic Scattering Problems” Developed an original methodology for solving underwater acoustics and structural dynamics problems. Implementation of special finite elements that led to a computational cost reduction up to 20 foldCoding experience in large scientific computing projects; over 35k LOC in C/C++ and over 80k LOC in Matlab; some parallel, multicore and high performance computing experience From January 2007 to March 2011 (4 years 3 months) Teaching Assistant @ Stanford University Collaborated on designing and preparing the material for a PhD level class for Institute for Computational and Mathematical Engineering (ICME), Stanford University. Lectured classes From March 2009 to July 2009 (5 months) Scientific Consultant @ Politecnico di Milano Petroleum System Modeling on High Performance Computing)Technological transfer of my PhD project to an industrial environmentENI R&D division From January 2003 to June 2006 (3 years 6 months)