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Ming Wang Hu Email & Phone Number

Data @ LOGEX | MSc Econometrics UvA | THU at LOGEX
Location: The Randstad, Netherlands 8 work roles 3 schools
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Current company
Role
Data @ LOGEX | MSc Econometrics UvA | THU
Location
The Randstad, Netherlands
Company size

Who is Ming Wang Hu? Overview

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Quick answer

Ming Wang Hu is listed as Data @ LOGEX | MSc Econometrics UvA | THU at LOGEX, a with 251 employees, based in The Randstad, Netherlands. AeroLeads shows a matched LinkedIn profile for Ming Wang Hu.

Ming Wang Hu previously worked as Data & Product Engineer at Logex and Data Management Analyst at Logex. Ming Wang Hu holds Msc Econometrics, Data Science And Business Analytics from University Of Amsterdam.

Company email context

Email format at LOGEX

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LOGEX

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Profile bio

About Ming Wang Hu

Financial analytics engineer and technical lead Dutch DWH. Currently developing data platform and interoperable patient data pipelines for software, country-wide benchmarking and reporting for decision making. LOGEX turns data into better healthcare in Europe.Graduated MSc in Econometrics with a specialisation in Data Science and Business Analytics at the Amsterdam School of Economics (ASE).

Listed skills include Statistics, Data Analysis, Matlab, Econometrics, and 9 others.

Current workplace

Ming Wang Hu's current company

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LOGEX
Logex
Data @ LOGEX | MSc Econometrics UvA | THU
amsterdam, north holland, netherlands
Website
Employees
251
AeroLeads page
8 roles

Ming Wang Hu work experience

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

Data & Product Engineer

Current

Amsterdam, North Holland, Netherlands

Nov 2024 - Present

Data Management Analyst

Amsterdam, North Holland, Netherlands

Financial Analytics

Dec 2022 - Nov 2024

Teacher

Amsterdam, North Holland, Netherlands

Applied Econometrics for Business (abs.uva.nl BSc 3rd year)

May 2022 - Jun 2022

Manager

Asia Plaza Wageningen Bv

Horeca & catering

Aug 2013 - Mar 2022

Ml Student Researcher

Beijing, China

Dept. of Automation, Liver tumour MRI segmentation

Nov 2019 - Jan 2020

Shop Assistant

Wageningen, Gelderland, Netherlands

May 2015 - Apr 2016
Team & coworkers

Colleagues at LOGEX

Other employees you can reach at logex.nl. View company contacts for 251 employees →

3 education records

Ming Wang Hu education

Msc Econometrics, Data Science And Business Analytics

Interpret large amounts of (un)structured data and make predictions that help business and government shape their strategies and economic.

Economics And Management, Automation

Activities and Societies: European student association, THU dragon boatCompleted graduate and undergraduate level courses mainly focused.

Bsc Econometrics And Operations Research

Activities and Societies: Global Exchange, Institute for Interdisciplinary Studies, VSAEA quantitative bachelor's degree with a focus.

FAQ

Frequently asked questions about Ming Wang Hu

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

What company does Ming Wang Hu work for?

Ming Wang Hu works for LOGEX.

What is Ming Wang Hu's role at LOGEX?

Ming Wang Hu is listed as Data @ LOGEX | MSc Econometrics UvA | THU at LOGEX.

Where is Ming Wang Hu based?

Ming Wang Hu is based in The Randstad, Netherlands while working with LOGEX.

What companies has Ming Wang Hu worked for?

Ming Wang Hu has worked for Logex, Athenastudies, Asia Plaza Wageningen Bv, University Of Amsterdam - Amsterdam School Of Economics, and Tsinghua University.

Who are Ming Wang Hu's colleagues at LOGEX?

Ming Wang Hu's colleagues at LOGEX include Alisa Lyzhina, Barend Buutfeld, Tor Øystein Seierstad, Sharike Anthony Ca(Sa), and Danielle Van Leeuwen.

How can I contact Ming Wang Hu?

You can use AeroLeads to view verified contact signals for Ming Wang Hu at LOGEX, including work email, phone, and LinkedIn data when available.

What schools did Ming Wang Hu attend?

Ming Wang Hu holds Msc Econometrics, Data Science And Business Analytics from University Of Amsterdam.

What skills is Ming Wang Hu known for?

Ming Wang Hu is listed with skills including Statistics, Data Analysis, Matlab, Econometrics, Mathematics, Operations Research, Economics, and Actuarial Science.

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