Applied Scientist
CurrentI build ML solutions across the payment space to detect fraud, optimize payment authorization, and minimize costs in the ML Accelerator team.
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@convoy.com
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2 phones found area 404
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Simon Berrebi is listed as Applied Scientist at Stripe, a with 3037 employees, based in Seattle, Washington, United States. AeroLeads shows a work email signal at convoy.com, phone signal with area code 404, and a matched LinkedIn profile for Simon Berrebi.
Simon Berrebi previously worked as Principal at Time Keepers and Senior Research Scientist at Convoy Inc. Simon Berrebi holds Doctor Of Philosophy - Phd, Transportation Systems from Georgia Institute Of Technology.
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ML Scientist with a background in real-time prediction engines, NLP, and MLOps, I am passionate about building ML/AI applications to solve ambiguous problems at scale. Having commercialized the real-time bus arrival prediction algorithms from my research, which now serves 100ks of daily passengers, I bring the founder’s hustle to all my projects. I enjoy diving deep to understand customer pain points, identify ML solutions, and lead cross-functional teams toward successful outcomes.
Listed skills include Stochastic Modeling, Transportation Planning, Optimisation, Traffic Engineering, and 16 others.
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Seattle
I build ML solutions across the payment space to detect fraud, optimize payment authorization, and minimize costs in the ML Accelerator team.
Seattle, Washington, United States
Commercializing machine learning tools from my research to help transit agencies improve service reliability. We developed a real-time ETA prediction algorithm that was selected by Metro Transit to predict the arrivals of 1,400 buses in the Twin Cities. Each day, hundreds of thousands of passengers use our predictions through LED signs and third-party mobile apps (Google Maps, Transit app, etc.) to navigate the Metro Transit system.
Seattle, Washington, United States
* Built a Two-Tower deep recommendation system powering Convoy's app, marketing campaign, and pricing models features. The relevance engine was found to be 28% more accurate than previous tree-based model in A/B test, while simplifying the infrastructure (10k lines of code snipped)
Seattle
* Deployed a real-time ETA model to predict truck arrivals that automatically notified shippers based on their preferred late tolerance. The model increased late detection lead time by 46% (33m), which enabled shipper to proactively prevent service failures at their facilities.* Productionized an NLP model to automatically schedule appointments offered by shippers via email. The model recognizes parsed dates/times, generates text embedding, and classifies candidate appointments.
Atlanta, Ga
Conducted research on the underlying causes of recent transit ridership decline, which revealed the influence of service allocation policies, demographic shifs, and competition from ride-hailing companies on transit usage.
Atlanta, Ga
I have developed an optimal method to dispatch transit vehicles on high-frequency routes. The method was implemented on live bus, BRT, and light-rail routes in Atlanta, GA, and San Antonio, TX.
Atlanta, Ga
Launched regional adopt-a-stop and crowd-funding programs engaging over 400 volunteers to improve access at their local bus stops - covered by the Washington Post, LA Times, CityLab
Région De Paris, France
Provided business intelligence to large industrial companies looking to optimize their distribution networks, inventory policies and forecasts
Other employees you can reach at stripe.com. View company contacts for 3037 employees →
Soo Yun Xuan
Colleague at StripeSingapore
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DB
Damitrye Bunner
Colleague at StripeEugene, Oregon, United States
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Evan Kay
Colleague at StripeSan Francisco, California, United States
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Rachel C.
Colleague at StripeWashington, District Of Columbia, United States
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Zac Messinger
Colleague at StripeLos Angeles, California, United States
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GM
Genesis Medina
Colleague at StripeLaredo, Texas, United States
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Pragya Mehta
Colleague at StripeGreater Seattle Area, United States
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Ashley Hoffman
Colleague at StripeColumbus, Ohio Metropolitan Area, United States
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Andrew Kaufman
Colleague at StripePortland, Oregon, United States
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Jing Li
Colleague at StripeFremont, California, United States
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Double major in Mathematics and History
Quick answers generated from the profile data available on this page.
Simon Berrebi works for Stripe.
Simon Berrebi is listed as Applied Scientist at Stripe.
AeroLeads has found 1 work email signal at @convoy.com for Simon Berrebi at Stripe.
AeroLeads has found 2 phone signal(s) with area code 404 for Simon Berrebi at Stripe.
Simon Berrebi is based in Seattle, Washington, United States while working with Stripe.
Simon Berrebi has worked for Stripe, Time Keepers, Convoy Inc, Georgia Institute Of Technology, and Marta Army Inc..
Simon Berrebi's colleagues at Stripe include Soo Yun Xuan, Damitrye Bunner, Evan Kay, Rachel C., and Zac Messinger.
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Simon Berrebi holds Doctor Of Philosophy - Phd, Transportation Systems from Georgia Institute Of Technology.
Simon Berrebi is listed with skills including Stochastic Modeling, Transportation Planning, Optimisation, Traffic Engineering, Logistique, Planification Des Transports, Mathematical Modeling, and Network Optimization.
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