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My passion for building useful products means I work next to PMs, Eng, and Ops daily to launch new features. I've never been content to stay within a traditional DS box: beyond the usual responsibilities of machine learning and experimentation, I've expanded my role to touch every part of the product cycle. With my functional peers, I work through planning, design, building, and deployment, and experimentation on numerous features that make your pickup experience more efficient.
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Senior Data ScientistStatsig May 2024 - PresentBellevue, Washington, UsMore to come! -
Global Co-ChairPride At Uber Erg Feb 2023 - Apr 2024Chair of our Global Pride at Uber Business Resource Group. Setting new strategic direction for our 1000+ member BRG and leading company-wide initiatives to leverage Uber’s global LGBTQ+ workforce. Bringing best-in-class DEI practices to ensure Uber invests in and supports its diverse workforce.
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Sr. Data Scientist / Applied ScientistUber Oct 2016 - Apr 2024San Francisco, California, UsGrew to be a senior leader among a 60 person cross-functional product team. Launched 20+ new and redesigned products involving complex experimentation in a dynamic 2-sided marketplace. Led multiple sub-teams through turbulent and high growth periods while delivering business-critical results.- Led strategic projects building the next-gen Matching tech for Uber's global Airports business- Wrote and implemented an ML strategy for Uber Airports, leading a cross-functional Product, Data, and Eng team.- Built our Airport Demand Model ML framework, powering all repositioning at Airports. Launched 2 new products, lowering pickup ETAs by 23% and unlocking GB growth of $16M.- Spearheading our next-gen Rider Readiness ML efforts to personalize pickups for every rider and vastly improve our Matching optimization function.- Developed a novel (python) simulation engine using spatial-temporal clustering techniques to plan Uber’s Event Shuttles launch at major sporting events.- Numerous additional product launches involving complex experimentation, including Synthetic Control, A/Bs, and Switchbacks. -
Data Science FellowGalvanize Inc May 2016 - Aug 2016Boulder, Colorado, UsHighlights:- Built “PhotoPro”, a webservice that predicted photographic professionalism through GBD Trees and CNNs and recommended improvements.Machine Learning, Data Sampling and Analysis, Predictive Regression, Supervised and Unsupervised ModelingAt Galvanize, I learned to be a Data Scientist. Through a 13 week intensive, immersive program, I built experience in Statistics, Probability, Experimental Design, Machine Learning, Big Data, Visualization, Deep Learning, and more.As the capstone of my immersive program, I create PhotoPro.science, an intelligent photo analytics and predictive system for evaluating photo quality online. Trained on 150,000 Flickr photos, PhotoPro predicted performance metrics for each photo as well as about the user who posted it. -
Structural Design EngineerMagnusson Klemencic Associates Jan 2014 - May 2016Seattle, Washington, UsHighlights:- Proactively developed novel design tools for SCBF seismic steel systems in buildings. Greatly increased efficiency and accuracy of firm’s lateral designs as much as 90%.- Further improved engineering efficiency for seismic design by an est. 50% by automating tools for the management of finite element model data.As a Structural Design Engineer at Magnusson Klemencic Associates, I supported our clients by designing structural solutions that match their architectural ambitions. In my role in the Culture Group, I worked on a large variety of projects, including those with primary steel, concrete, and wood systems. My responsibilities included structural design of lateral and gravity systems, drawing coordination, and construction administration throughout the design and construction cycle.As a consultant on large and complex projects, I developed automated tools to increase the efficiency of our design process and manage the multitudes of structural components. I worked closely with architects to ensure that our structural designs and documents match their plans and design intent, developing solutions to that span the gap between architectural idea and constructable reality. -
Graduate Research Assistant / Optimization SpecialistUniversity Of Southern California Jan 2013 - Jun 2013Los Angeles, Ca, UsUsing Grasshopper to develop parametric computer analysis and optimization simulations for robotic, regolith moon-base construction; structural and micro-meteorite impact analysis. -
Class AssistantUniversity Of Southern California Aug 2011 - Jun 2013Los Angeles, Ca, UsEnhanced classroom instruction by providing additional one-on-one and group tutoring. Graded class assignments, midterms, and final exams.
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Assistant Project Engineer, InternC.W. Driver May 2011 - Aug 2011Pasadena, Ca, UsManaged subcontractor scheduling, directed change orders, and initiated and recorded RFIs. Supported two projects, totaling over $16 million in business.• Chapman AFE• LMU Backfill -
Systems Architect, Rose Hills Foundation FellowshipUniversity Of Southern California May 2010 - May 2011Los Angeles, Ca, UsResearch focused on shear band formation within sands, using finite strain analysis.• Programmed new experimental control software and user interface using LabView.• Utilized MATLAB to interpret and evaluate experimental data.• Completed update and renovation of lab equipment and experimental apparatus.
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Programming ManagerTrojan Vision Television Jan 2009 - Jun 2010Los Angeles, Ca, Us• Increased production 96% over 8 months by creating weekly air schedules and developed new programming including shepherding new pitches and acquiring outside shows.• Engaged station volunteers to crew and work on shows.• Maintained working relationship with LA36 to secure outside distribution of USC programs.• Ensured quality control standards were maintained on weekly content.• Recruited actors, writers, directors and editors to produce biweekly television show that aired for 6 months. -
Engineering Intern, Nsf, ReuUniversity Of Houston May 2009 - Aug 2009Houston, Tx, UsInvestigated steel fibers as a replacement for steel rebar in high strength concrete.• Aided the design and construction of full-sized concrete I-beams for public use safety certification. -
Research Intern, Provost FellowshipUniversity Of Southern California May 2008 - Aug 2008Los Angeles, Ca, UsThe Vilesov lab sought to create the first non-Helium superfluid.• Established the vibrational and rotational CARS spectra of para-Hydrogen in liquid and solid bulk states. Designed and built a solid-state laser system to measure CARS spectra of super-cooled liquids and solids.
Michael Makris Skills
Michael Makris Education Details
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University Of Southern CaliforniaArchitectural And Building Sciences -
University Of Southern CaliforniaCivil Engineering - Building Sciences
Frequently Asked Questions about Michael Makris
What company does Michael Makris work for?
Michael Makris works for Statsig
What is Michael Makris's role at the current company?
Michael Makris's current role is Senior Data Scientist | Ex-Uber.
What is Michael Makris's email address?
Michael Makris's email address is mm****@****ber.com
What is Michael Makris's direct phone number?
Michael Makris's direct phone number is +121374*****
What schools did Michael Makris attend?
Michael Makris attended University Of Southern California, University Of Southern California.
What are some of Michael Makris's interests?
Michael Makris has interest in Online Learning, Programming, Software Development.
What skills is Michael Makris known for?
Michael Makris has skills like Python, Matlab, Machine Learning, Sql, Git, Revit, Data Science, Deep Learning, Rhino, Github, Amazon Web Services, Statistics.
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