Michael Wekking
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Michael Wekking Email & Phone Number

Junior Software Engineer (Data) at Cardano
Location: Amsterdam, North Holland, Netherlands 6 work roles 3 schools
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✓ Verified July 2026 3 data sources Profile completeness 86%

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Current company
Role
Junior Software Engineer (Data)
Location
Amsterdam, North Holland, Netherlands
Company size

Who is Michael Wekking? Overview

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Michael Wekking is listed as Junior Software Engineer (Data) at Cardano, a with 540 employees, based in Amsterdam, North Holland, Netherlands. AeroLeads shows a matched LinkedIn profile for Michael Wekking.

Michael Wekking previously worked as Data Science Fellow at Impact Institute and Data Science Trainee at Impact Institute. Michael Wekking holds Master, Applied Data Science, 8.2 from Universiteit Utrecht.

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Email format at Cardano

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Cardano

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Profile bio

About Michael Wekking

I am passionate to learn new data (engineering/visualization/machine learning) tools to drive better decision-making for companies. I am currently working for the Impact Institute, developing and doing research for the Global Impact Database (GID). In this database, the social and environmental impacts of sectors and companies are calculated; it is used by investors and asset managers to assess the impact of their portfolios, and by companies to assess the upstream value chain impact of their procurement.

Current workplace

Michael Wekking's current company

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Cardano
Cardano
Junior Software Engineer (Data)
Amsterdam, NH, NL
Website
Employees
540
AeroLeads page
6 roles

Michael Wekking work experience

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Junior Software Engineer (Data)

Amsterdam, Nh, Nl

Data Science Fellow

Current

Amsterdam, Noord-Holland, Nederland

Working on the Global Impact Database, which calculates the environmental and social impact of companies and sectors globally to help companies and asset managers get insights into their externalities. I'm also working on sustainability reporting (SFDR/CSRD), using insights from GID.

Nov 2023 - Present

Data Science Trainee

Amsterdam, Noord-Holland, Nederland

I work on the technology team at the Impact Institute, which developed the GID (Global Impact Database). This database calculates the social and environmental impacts of companies along their value chain. The database can be used by investors and asset managers to measure the impacts of their portfolios.

Nov 2022 - Dec 2023

Bijlesdocent

Amsterdam

Bijles & lesopvang

Jan 2021 - Nov 2022

Graduate Intern - Data Science

Npo

I wrote my Master Data Science thesis called 'Prediction of Diversity in NPO shows' with the NPO. This thesis was a data mining/machine learning project, aiming to automate a measure of diversity of the NPO using subtitles of NPO shows.

Apr 2022 - Jun 2022
Team & coworkers

Colleagues at Cardano

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3 education records

Michael Wekking education

Master, Applied Data Science, 8.2

- Courses: Data Wrangling and Data Analysis, Social Behaviour Dynamics, Spatial Data Analysis and Simulation Modeling, Network Analysis.

Bachelor'S Degree, Social Science - Political Science & International Relations

Graduated cum laude, major in Social Sciences (particularly Political Science and International Relations).

Vwo Diploma, Richting Economie & Maatschappij

Het 4E Gymnasium
FAQ

Frequently asked questions about Michael Wekking

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What company does Michael Wekking work for?

Michael Wekking works for Cardano.

What is Michael Wekking's role at Cardano?

Michael Wekking is listed as Junior Software Engineer (Data) at Cardano.

Where is Michael Wekking based?

Michael Wekking is based in Amsterdam, North Holland, Netherlands while working with Cardano.

What companies has Michael Wekking worked for?

Michael Wekking has worked for Cardano, Impact Institute, Bijlescontact, Npo, and Bijlesbureau Studentsplus Nederland.

Who are Michael Wekking's colleagues at Cardano?

Michael Wekking's colleagues at Cardano include Ellie Perez, Kees Bouwman, Alex Glynn, Maria Muuiños, and Richard Dowell.

How can I contact Michael Wekking?

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What schools did Michael Wekking attend?

Michael Wekking holds Master, Applied Data Science, 8.2 from Universiteit Utrecht.

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