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Bram Schipper Email & Phone Number

Data Scientist Deep Turnaround at Schiphol
Location: The Randstad, Netherlands 5 work roles 3 schools
1 work email found @hotmail.nl 1 phone found area 165 LinkedIn matched
✓ Verified August 2026 4 data sources Profile completeness 100%

Contact Signals · 1 work email · 1 phone

Work email b****@hotmail.nl
Direct phone (165) ***-****
LinkedIn Profile matched
3 free lookups remaining · No credit card
Current company
Schiphol
Role
Data Scientist Deep Turnaround
Location
The Randstad, Netherlands
Company size
2699 employees

Who is Bram Schipper? Overview

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Quick answer

Bram Schipper is listed as Data Scientist Deep Turnaround at Schiphol, a with 2699 employees, based in The Randstad, Netherlands. AeroLeads shows a work email signal at hotmail.nl, phone signal with area code 165, and a matched LinkedIn profile for Bram Schipper.

Bram Schipper previously worked as Data Scientist at Asset.Insight. B.V. and Co Owner at Urgis. Bram Schipper holds Master, Geo-Information Science from Wageningen Universiteit En Researchcentrum.

Company email context

Email format at Schiphol

This section adds company-level context without repeating Bram Schipper's masked contact details.

{first}{last}@hotmail.nl
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AeroLeads found 1 current-domain work email signal for Bram Schipper. Compare company email patterns before reaching out.

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Profile bio

About Bram Schipper

Bram Schipper is a Data Scientist Deep Turnaround at Schiphol. He possess expertise in python, qgis, arcgis, research, remote sensing and 27 more skills. He is proficient in Engels, niveau B2.

Listed skills include Python, Qgis, Arcgis, Research, and 28 others.

Current workplace

Bram Schipper's current company

Company context helps verify the profile and gives searchers a useful next step.

Schiphol
Schiphol
Data Scientist Deep Turnaround
schiphol, north holland, netherlands
Website
schiphol.com
Employees
2699
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Company profile
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5 roles

Bram Schipper work experience

A career timeline built from the work history available for this profile.

Data Scientist Deep Turnaround

Current
Schiphol
Dec 2023 - Present

Co Owner

Urgis

Zuid-Holland, Nederland

In 2017 gestart met dienstverlening en productontwikkeling op het gebied van GIS, geo-ICT en remote sensing. Gespecialiseerd in het vertalen van geografische data (bijvoorbeeld luchtfoto's en puntenwolken) naar nieuwe informatie en inzichten. Dit doen wij onder andere door middel van artificial intelligence, geoscripting en door het koppelen van verschillende data bronnen.

Dec 2017 - May 2022

Intern Object Detection With Deep Learning On Aerial Imagery

Aerovision Bv

Amersfoort, Provincie Utrecht, Nederland

Implementeren van een deep learning neural network om objecten te herkennen op hoge resolutie luchtfoto's

Dec 2017 - May 2018

Stagiair

Hoogheemraadschap Van Schieland En De Krimpenerwaard

Semarang, Indonesië

Stagiar project "Banger Pilot Polder" in Semarang - Indonesië namens het HHSK. Dit is een pilot project waarbij in samenwerking met Nederlandse partijen en de Indonesische overheid een typisch Nederlands poldersysteem wordt aangelegd en daarbij ook een organisatie ‘polderbestuur' opgericht zal worden om deze te beheren.Opdracht:Opstellen van een Emergency Response Plan (Calamiteitenplan) en een Level Control Plan (Waterbeheersingsplan).

Sep 2013 - Jan 2014
Team & coworkers

Colleagues at Schiphol

Other employees you can reach at schiphol.com. View company contacts for 2699 employees →

YM Yasmine Mellabi Yasmine Mellabi Colleague at SchipholNetherlands View → KM Kash Mal Kash Mal Colleague at SchipholAmsterdam, North Holland, Netherlands View → RF Rutger Farber Rutger Farber Colleague at SchipholAmsterdam, North Holland, Netherlands View → JB Josée Bronk Josée Bronk Colleague at SchipholNetherlands View → TV Thijs Van Rooden Thijs Van Rooden Colleague at SchipholHaarlem, North Holland, Netherlands View → EV Edwin Van Der Valk Edwin Van Der Valk Colleague at SchipholZaandam, North Holland, Netherlands View → WA Wesley Assman Wesley Assman Colleague at SchipholNetherlands View → ML Matthijs Lamberts Matthijs Lamberts Colleague at SchipholUtrecht, Netherlands View → ED Elske Den Bode Elske Den Bode Colleague at SchipholThe Randstad, Netherlands View → ML Mebi Long Mebi Long Colleague at SchipholIjsselmonde, South Holland, Netherlands View →
3 education records

Bram Schipper education

Watermanagement

Hogeschool Rotterdam

Activities and Societies: Propedeuse in studiejaar 2011-2012 behaaldDe hbo bacheloropleiding Watermanagement is gericht op het organiseren.

Havo, N&T

Coenecoop College Waddinxveen

Activities and Societies: TC

FAQ

Frequently asked questions about Bram Schipper

Quick answers generated from the profile data available on this page.

What company does Bram Schipper work for?

Bram Schipper works for Schiphol.

What is Bram Schipper's role at Schiphol?

Bram Schipper is listed as Data Scientist Deep Turnaround at Schiphol.

What is Bram Schipper's email address?

AeroLeads has found 1 work email signal at @hotmail.nl for Bram Schipper at Schiphol.

What is Bram Schipper's phone number?

AeroLeads has found 1 phone signal(s) with area code 165 for Bram Schipper at Schiphol.

Where is Bram Schipper based?

Bram Schipper is based in The Randstad, Netherlands while working with Schiphol.

What companies has Bram Schipper worked for?

Bram Schipper has worked for Schiphol, Asset.Insight. B.V., Urgis, Aerovision Bv, and Hoogheemraadschap Van Schieland En De Krimpenerwaard.

Who are Bram Schipper's colleagues at Schiphol?

Bram Schipper's colleagues at Schiphol include Yasmine Mellabi, Kash Mal, Rutger Farber, Josée Bronk, and Thijs Van Rooden.

How can I contact Bram Schipper?

You can use AeroLeads to view verified contact signals for Bram Schipper at Schiphol, including work email, phone, and LinkedIn data when available.

What schools did Bram Schipper attend?

Bram Schipper holds Master, Geo-Information Science from Wageningen Universiteit En Researchcentrum.

What skills is Bram Schipper known for?

Bram Schipper is listed with skills including Python, Qgis, Arcgis, Research, Remote Sensing, Machine Learning, R, and Java.

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