Zexi (Jersey) Liu
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Zexi (Jersey) Liu Email & Phone Number

Medior Data Analyst at SkinVision
Location: Amsterdam Area, Netherlands 5 work roles 3 schools
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✓ Verified Jul 2026 3 data sources Profile completeness 86%

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Current company
Role
Medior Data Analyst
Location
Amsterdam Area, Netherlands
Company size

Who is Zexi (Jersey) Liu? Overview

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Quick answer

Zexi (Jersey) Liu is listed as Medior Data Analyst at SkinVision, a with 53 employees, based in Amsterdam Area, Netherlands. AeroLeads shows a matched LinkedIn profile for Zexi (Jersey) Liu.

Zexi (Jersey) Liu previously worked as Data Analyst at Skinvision and Product Analyst at Pvh Corp.. Zexi (Jersey) Liu holds Master'S Degree, Data Science For Decision Making from Maastricht University.

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Email format at SkinVision

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SkinVision

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Profile bio

About Zexi (Jersey) Liu

Having worked in various data-related roles, I discovered my passion for data analysis. This journey has equipped me with the ability to bridge the gap between business and technology. It has also afforded me the chance to acquire diverse skill sets. I found much pleasure throughout this journey and am enthusiastic about tackling more challenges.

Current workplace

Zexi (Jersey) Liu's current company

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SkinVision
Skinvision
Medior Data Analyst
Amsterdam, NH, NL
Website
Employees
53
AeroLeads page
5 roles · 10 years

Zexi (Jersey) Liu work experience

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

Medior Data Analyst

Amsterdam, Nh, Nl

Data Analyst

Current

Netherlands

Sep 2023 - Present

Product Analyst

Amsterdam, North Holland, Netherlands

• Coordinated with stakeholders and data engineers to fix data quality issues.• Applied analysis on data lineage and Airflow DAGs to improve data quality.• Collaborated closely with data engineers to develop data models and ETL pipelines.• Employed SQL and Excel to construct a cohort analysis, which facilitated a new viewpointand provided valuable insights into the lifetime value of the membership program.• Wrote readable and maintainable SQL as a template for future A/B… Show more • Coordinated with stakeholders and data engineers to fix data quality issues.• Applied analysis on data lineage and Airflow DAGs to improve data quality.• Collaborated closely with data engineers to develop data models and ETL pipelines.• Employed SQL and Excel to construct a cohort analysis, which facilitated a new viewpointand provided valuable insights into the lifetime value of the membership program.• Wrote readable and maintainable SQL as a template for future A/B test analyses.• Constructed a pySpark and Python pipeline to perform significance testing, resulting ina workflow that was more than 10 times faster than before.• Coordinated with data scientists to analyze A/B test of various models, and enhanced theTableau dashboard to visualize the results of different experiments in a more clear andvisually appealing manner. Show less

Jul 2022 - Dec 2022

Data Science Intern

Amsterdam, North Holland, Netherlands

• In order to train machine learning models, used BigQuery and Firestore for dataextraction.• Employed Python for data transformation and cleaning. Coordinated with stakeholdersto gain insights for feature engineering.• Built a text classification model with a f1 score of 0.9, and a duplicate logo detectionmodel with a f1 score of 0.88. Then built and deployed APIs for these models via FastAPI.• Built multiple web scrapers. Then deployed and maintained Airflow for these… Show more • In order to train machine learning models, used BigQuery and Firestore for dataextraction.• Employed Python for data transformation and cleaning. Coordinated with stakeholdersto gain insights for feature engineering.• Built a text classification model with a f1 score of 0.9, and a duplicate logo detectionmodel with a f1 score of 0.88. Then built and deployed APIs for these models via FastAPI.• Built multiple web scrapers. Then deployed and maintained Airflow for these scrapers.• Gained experience working with CI/CD and Docker in doing above projects. Show less

Sep 2021 - Feb 2022

Growth And Product Manager

Xiachufang

Beijing, China

- Improved the weekly retention of recipe generators from 18% to 30%- Conducted multiple A/B tests to determine the best position to show new recipes in search engine results, achieved 2000%+ growth to their number of views- Used SQL, Excel, and Tableau to conduct multiple analysis and provide insight - In charge of managing ad-hoc data analysis tasks

2017 - 2019 ~2 yrs
Team & coworkers

Colleagues at SkinVision

Other employees you can reach at skinvision.com. View company contacts for 53 employees →

3 education records

Zexi (Jersey) Liu education

Master'S Degree, Data Science For Decision Making

Affective Video Summarization: - Determine the most appropriate dataset and model for the emotion recognition part of our project.

FAQ

Frequently asked questions about Zexi (Jersey) Liu

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

What company does Zexi (Jersey) Liu work for?

Zexi (Jersey) Liu works for SkinVision.

What is Zexi (Jersey) Liu's role at SkinVision?

Zexi (Jersey) Liu is listed as Medior Data Analyst at SkinVision.

Where is Zexi (Jersey) Liu based?

Zexi (Jersey) Liu is based in Amsterdam Area, Netherlands while working with SkinVision.

What companies has Zexi (Jersey) Liu worked for?

Zexi (Jersey) Liu has worked for Skinvision, Pvh Corp., Dealroom.Co, and Xiachufang.

Who are Zexi (Jersey) Liu's colleagues at SkinVision?

Zexi (Jersey) Liu's colleagues at SkinVision include Sarantis Tofas, Mariel A. Müller, Florencia Acebal, Dr. Alexandra Bloju, and Steve Seuntjens.

How can I contact Zexi (Jersey) Liu?

You can use AeroLeads to view verified contact signals for Zexi (Jersey) Liu at SkinVision, including work email, phone, and LinkedIn data when available.

What schools did Zexi (Jersey) Liu attend?

Zexi (Jersey) Liu holds Master'S Degree, Data Science For Decision Making from Maastricht University.

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