Michael Makris Email & Phone Number
@uber.com
3 phones found area 213 and 513
LinkedIn matched
Who is Michael Makris? Overview
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Michael Makris is listed as Senior Data Scientist | Ex-Uber at Statsig, based in Seattle, Washington, United States. AeroLeads shows a work email signal at uber.com, phone signal with area code 213, 513, and a matched LinkedIn profile for Michael Makris.
Michael Makris previously worked as Senior Data Scientist at Statsig and Global Co-Chair at Pride At Uber Erg. Michael Makris holds Master Of Building Science (Mbs), Architectural And Building Sciences from University Of Southern California.
Email format at Statsig
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AeroLeads found 3 current-domain work email signals for Michael Makris. Compare company email patterns before reaching out.
About Michael Makris
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.
Listed skills include Python, Matlab, Machine Learning, Sql, and 26 others.
Michael Makris's current company
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Michael Makris work experience
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Global Co-Chair
Chair 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.
Sr. Data Scientist / Applied Scientist
Grew 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 Fellow
Highlights:- 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 Engineer
Highlights:- 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 Specialist
Using Grasshopper to develop parametric computer analysis and optimization simulations for robotic, regolith moon-base construction; structural and micro-meteorite impact analysis.
Class Assistant
Enhanced classroom instruction by providing additional one-on-one and group tutoring. Graded class assignments, midterms, and final exams.
Assistant Project Engineer, Intern
Managed 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 Fellowship
Research 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.
Programming Manager
• 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, Reu
Investigated 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 Fellowship
The 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 education
Master Of Building Science (Mbs), Architectural And Building Sciences
Bachelor Of Science (Bs), Civil Engineering - Building Sciences
Frequently asked questions about Michael Makris
Quick answers generated from the profile data available on this page.
What company does Michael Makris work for?
Michael Makris works for Statsig.
What is Michael Makris's role at Statsig?
Michael Makris is listed as Senior Data Scientist | Ex-Uber at Statsig.
What is Michael Makris's email address?
AeroLeads has found 3 work email signals at @uber.com for Michael Makris at Statsig.
What is Michael Makris's phone number?
AeroLeads has found 3 phone signal(s) with area code 213, 513 for Michael Makris at Statsig.
Where is Michael Makris based?
Michael Makris is based in Seattle, Washington, United States while working with Statsig.
What companies has Michael Makris worked for?
Michael Makris has worked for Statsig, Pride At Uber Erg, Uber, Galvanize Inc, and Magnusson Klemencic Associates.
How can I contact Michael Makris?
You can use AeroLeads to view verified contact signals for Michael Makris at Statsig, including work email, phone, and LinkedIn data when available.
What schools did Michael Makris attend?
Michael Makris holds Master Of Building Science (Mbs), Architectural And Building Sciences from University Of Southern California.
What skills is Michael Makris known for?
Michael Makris is listed with skills including Python, Matlab, Machine Learning, Sql, Git, Revit, Data Science, and Deep Learning.
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