Anton De Lesseps Email & Phone Number
@argo.ai
LinkedIn matched
Who is Anton De Lesseps? Overview
A concise factual answer block for searchers comparing this professional profile.
Anton De Lesseps is listed as Applied Scientist at Ramp, a with 79 employees, based in New York City Metropolitan Area, United States. AeroLeads shows a work email signal at argo.ai and a matched LinkedIn profile for Anton De Lesseps.
Anton De Lesseps previously worked as Analyst - Product and Data at Kard and Software Engineer Intern at Argo Ai. Anton De Lesseps holds Bachelor Of Science - Bs, Applied Mathematics, Minor In Computer Science, 3.93 Gpa from Northwestern University.
Email format at Ramp
This section adds company-level context without repeating Anton De Lesseps's masked contact details.
AeroLeads found 1 current-domain work email signal for Anton De Lesseps. Compare company email patterns before reaching out.
About Anton De Lesseps
I'm a Northwestern graduate with a BS in applied math and a minor in computer science. My professional experience spans data science and product work in the transportation and fintech industries, as well as research in an academic setting. I'm most interested in future roles in product and data science.I like to focus intensely on one or two topics for an extended period - aiming for mastery - before going out on my own and building something with what I've learned.
Anton De Lesseps's current company
Company context helps verify the profile and gives searchers a useful next step.
Anton De Lesseps work experience
A career timeline built from the work history available for this profile.
Analyst - Product And Data
Kard: A series A technology startup with a rewards and loyalty network for modern credit card issuers. The company is differentiated by its proprietary rewards matching and aggregation software, API-based platform, and seamless and customizable user experience.My role: I was the second hire on Kard's data team, with responsibilities across product, merchant and issuer growth, and some core engineering capabilities.Accomplishments:- I've built a large codebase for forecasting demand for campaigns of increasing complexity. This includes segmenting cardholders based on purchasing activity, enforcing purchase size and frequency limits and reward size limits, and other features. This has enabled many forecasts not previously possible, reduced the time required by up to 90%, and drastically improved campaign pacing accuracy (burning the correct budget in the correct time frame).- I've researched new ways to leverage data in merchant sales and campaign structuring, using advanced user segmentation and competitive analysis. Some examples: - Clustering disengaged members of a multinational retailer, proposing a novel campaign to reach them, and pitching the benefits to both issuers and merchants. - Analyzing market share of a national food chain and its competitors in select Californian cities. This informs both the campaign structure for this merchant and critical product features around location targeting.- I've designed and run embedded experiments to prove sales lift and increased customer engagement. This information, a frequent but (until recently) unfulfilled request from merchants, will empower sales and marketing teams.- I've also built self-service tools for teams at Kard to track and optimize burn on live campaigns, automate billing processes, view business health metrics, and estimate spend for potential customers.
Software Engineer Intern
Argo AI: $7.25B joint venture between Volkswagen and Ford, building autonomous driving technology for urban vehicles. It had 1,700 employees and self-driving cars on the streets of Pittsburgh, Palo Alto, Austin, and Miami. The company's closest competitors were Waymo and Cruise.My role: I was a junior member of the 10-person data science team, where we built machine learning models to assess and predict the performance of the company's self-driving cars. Those findings went to company leadership and engineering.Accomplishments: I assessed the importance of features in the cars' situations and settings, formalized our models in a daily build system, and helped to define a dynamic actors-based model to expand the team's collection of methods.
Research Analyst
CEWIT: An incubator for wireless and information technology at Stony Brook University.My role: I analyzed Medicaid datasets in New York state, doing basic data mining with the goal to identify hidden health trends. My methods included generalized linear modeling and data visualization.
Research Assistant
Research project (PREEVENTS): A $25M, NSF-funded project involving multiple universities across the globe. The goal was to predict the catastrophic failure of landslides in northern California, which recently had occurred more frequently and disastrously.My role: I researched under the professor and a PhD student in the Buscarnera Group at Northwestern University, numerically solving soil saturation models and running computer simulations of landslides.Accomplishments: In addition to running simulations (bottom-up approach), I contributed a data-driven time series method (top-down approach) to incorporate historical precipitation and soil displacement data from surrounding areas.
Colleagues at Ramp
Other employees you can reach at ramp.se. View company contacts for 79 employees →
Allyssa Johnston
Colleague at RampToronto, Ontario, Canada
View →
AE
Alex Eshoo
Colleague at RampNew York, United States
View →
JD
Jack Dudzik
Colleague at RampNew York, United States
View →
RZ
Raymond Z.
Colleague at RampNew York City Metropolitan Area, United States
View →
JO
Jonathan Okoakih
Colleague at RampNew York, United States
View →
BS
Beena Sm
Colleague at RampIndia
View →
IM
Ian Momsen
Colleague at RampSan Francisco, California, United States
View →
GL
Georgia Lin
Colleague at RampPortland, Oregon, United States
View →
RR
Renzo Rios
Colleague at RampMiami, Florida, United States
View →
MS
Mark Skelton
Colleague at RampMonroe, Wisconsin, United States
View →
Anton De Lesseps education
Bachelor Of Science - Bs, Applied Mathematics, Minor In Computer Science, 3.93 Gpa
Education record
Engineering Summer Academy At Penn, Computer Science
Frequently asked questions about Anton De Lesseps
Quick answers generated from the profile data available on this page.
What company does Anton De Lesseps work for?
Anton De Lesseps works for Ramp.
What is Anton De Lesseps's role at Ramp?
Anton De Lesseps is listed as Applied Scientist at Ramp.
What is Anton De Lesseps's email address?
AeroLeads has found 1 work email signal at @argo.ai for Anton De Lesseps at Ramp.
Where is Anton De Lesseps based?
Anton De Lesseps is based in New York City Metropolitan Area, United States while working with Ramp.
What companies has Anton De Lesseps worked for?
Anton De Lesseps has worked for Ramp, Kard, Argo Ai, The Center Of Excellence In Wireless And Information Technology (Cewit) At Stony Brook University, and Northwestern University.
Who are Anton De Lesseps's colleagues at Ramp?
Anton De Lesseps's colleagues at Ramp include Allyssa Johnston, Alex Eshoo, Jack Dudzik, Raymond Z., and Jonathan Okoakih.
How can I contact Anton De Lesseps?
You can use AeroLeads to view verified contact signals for Anton De Lesseps at Ramp, including work email, phone, and LinkedIn data when available.
What schools did Anton De Lesseps attend?
Anton De Lesseps holds Bachelor Of Science - Bs, Applied Mathematics, Minor In Computer Science, 3.93 Gpa from Northwestern University.
Search by job title, company, industry, location, and seniority. Export verified B2B contact data when you need it.
Start free trial