Yi-Chen Zhang

Data Science Specialist based in The Netherlands

I am passionate about data, data-driven solutions, and programming.
With more than three years of working experience in a data-related role,
I have gained profound expertise in problem-solving with data analysis
through Python, SQL, and Google Analytics.

Also, I am adept at other programming languages such as HTML, CSS, JavaScript,
and Google Apps Script for web development and process optimization.

Project

Project Description Skillset Link
Deep Learning @ Tilburg University Used image data to classify different types of cancer. Deep Learning Github
Machine Learning Challenge @ Tilburg University Used thesis data to predict the published years with supervised learning. Python、NLP、Machine Learning Github
Spotify Data Visualization @ Data Science Experience Day (Power BI Workshop) Explored the features of Spotify songs by creating a dashboard. Power BI PDF
Detect abnormal transactions (Python) @ Van Lanschot Kempen Adopted unsupervised learning method with isolation forest, found the most important features, and uncovered the suspicious points. Python、Machine Learning PPT
Campaign Monitor Dashboard @ Dcard Created a campaign monitor dashboard to track the progress of each campaign and calculated the minimum CTR to reach click goals. SQL、Data visualization
Outstanding Creative Dashboard @ Dcard Developed a dashboard to find creatives with the best performance, conserving my team 4hrs a week to provide clients with optimization tips or screenshots. SQL、Data visualization
CPC Analysis Dashboard @ Dcard Monitored CPC performance in terms of campaign, industry, and creative each month for pricing strategy SQL、Data visualization
Ad click analysis dashboard @ Dcard Queried the database for demographic advanced CTR, and creative analysis. SQL、Data visualization 、 、
Report automation @ Dcard Wrote a Google APP Script to automate the daily traffic report each week. Google APP Script Github
Classification of interest tags @ Dcard Used Pandas to classify users’ interest tags and analyze outcomes to offer key accounts better insights. Python、Pandas Github
Predict the lowest price (HackerEarth Machine Learning Challenge) @ Side Project Predicted the lowest price with machine learning. Machine Learning、Regression、Classification、Python、Sklearn、Pandas、Numpy Github
Web scraping job opportunities of data analyst on Linkedln @ Side Project Scrape data analyst job opportunities in western Europe. Numpy、Pandas、Selenium、Python、Ｍatplotlib Github
Company website @ Efficient International Technology Created two company websites from scratch to drive traffic through excellent user exepreince, new functions, and SEO. HTML、CSS、Javascript、PHP、Boostrap、MySQL、Ｇoogle reCAPTCHA v3 Efficient International Technology、MACMIC

Experience

Artificial Intelligence Intern

Advantech Europe, Eindhoven, The Netherlands

Advantech is a global leader in the fields of IoT intelligent systems and embedded platforms.

  • Analyzed the customers’ recency, frequency, and monetary, gave insight, and presented to stakeholders.
  • Developed customer lifetime value models by using probabilistic, machine, and deep learning models to predict how many purchases and the amount of customer spending in a given time.
  • Adopted Power BI to analyze customer spending over time and reported it to my supervisor.
  • Followed Scrum rituals such as stand-ups, refinement sessions, sprint reviews, and retrospectives.

    • Feb 2024 - Present

    Senior Ads Optimizer

    Dcard, Taipei, Taiwan

    Dcard is a social networking site and an app with 7+ million members which helps people connect.

  • Led a team of 6, built a monitoring dashboard, and set up guidelines and KPIs, improving the overall CTR by 62%.
  • Successfully coordinated with engineers for third-party ad integration, achieving a 13% revenue gain.
  • Boosted AD CTRs by over 200% for global clients (e.g., Google, Toyota, L'Oréal, SHISEIDO) by using A/B testing and offering consulting service.
  • Created a campaign monitor dashboard, saving my team 2hrs per day and raising revenue from AD network by 12%.
  • Supervised two juniors to get on track in a month and optimized their SQL queries for ad-hoc analysis.
  • Built a dashboard for demographic, advanced CTR, and creative analysis, helping Sales gain 10% of orders.
  • Monitored CPC performance in terms of campaign, industry, and creative each month for pricing strategy.
  • Developed a dashboard to find creatives with the best performance, conserving my team 4hrs a week to provide clients with optimization recommendations and screenshots.
  • Utilized Pandas to classify users' tags for interests analysis on reports, saving my team for 3hrs per day.
  • Wrote a Script to automate a daily traffic report, reducing 8-hr routine work per week.
  • Worked with Data Analysts to research the best approach to write ad copy, which improved the conversion rate by over 33%.

    • Aug 2021 - Aug 2023

    Marketing Analyst

    Efficient International Technology, Taipei, Taiwan

    Efficient is a professional power semiconductor supplier with hundreds of leading brand clients.

  • Created two websites (EIT、MACMIC) from scratch and developed a searching and sorting function, RWD, an inquiry cart, a programmable search engine, and web layout design through HTML, CSS, and JavaScript.
  • Ensured that the logistics systems and processes were processed successfully and cut down the delivery cost by over 13%.
  • Founded a MySQL database and connected it through PHP to get customers' inquiries.
  • Integrated Google reCaptcha V3 into the inquiry page, leading to a 99% decrease in scam messages.
  • Developed a detailed SEO strategy, such as content marketing, an establishment of a sitemap, and the use of structured data to drive traffic, increasing the click rate and exposure rate by 80% and 85%.
  • Tracked users' journeys and improved web content with A/B testing, boosting the inquiry conversion rate by 46%.
  • Performed competitor analysis with Excel for a pricing strategy and reported them to my supervisor monthly.
  • Produced a catalog, negotiated the budget with a sales manager from a printing firm, and saved 25% budget.

    • Aug 2020 - July 2021

    Education

    Tilburg University (The Netherlands)

    Master of Science
    Data Science and Society

    GPA: 8.15/10

    Relevant courses: Data Mining, Statistics, Big Data, Data Processing, Machine Learning, Computational Statistics, Deep Learning, Data Science Regulation & Law

    Sept 2023 - Present

    National Chengchi University (Taiwan)

    Bachelor of Business Administration
    Business Administration

    GPA: 3.96/4.3
    Relevant courses: Statistics, Management Science, Math with Business Application, Information Management

    Sept 2016 - Jan 2020

    Kozminski University (Poland)

    Exchange Program
    Business Administration and Management

    GPA: 4.4/5

    Feb 2019 - June 2019

    University of Groningen (The Netherlands)

    Exchange Program
    Business and Economics

    GPA: 7/10

    Sept 2018 - Jan 2019

    Certificate

    Certificate Iss. Organization Core Skillset Link
    Probability and Statistics: To p or not to p? Coursera Ｑuantifying uncertainty with probability, Ｄescriptive statistics, Ｐoint and interval estimation of means and proportions, The basics of hypothesis testing, A selection of multivariate applications of key terms and concepts PDF
    IBM Data Science Coursera Databases、Data science methodology、Machine learning、Data visualization PDF
    Introduction to Data Science in Python Coursera Python programming、Numpy、Pandas、Data cleansing PDF
    Applied Machine Learning in Python Coursera Python programming、Machine learning (ML) algorithms、Machine learning、Scikit-Learn PDF
    Fundamentals of Visualization with Tableau Coursera Tableau software、Data virtualization、Data visualization (DataViz)、Visualization (Computer Graphics) PDF
    SQL for Data Science Coursera Data science、Data analysis、Sqlite、SQL PDF
    Python Data Structures Coursera Python syntax And Semantics、Data Structure、Tuple、Python programming PDF
    Programming for Everybody (Getting Started with Python) Coursera Python syntax and semantics、Basic programming language、Computer programming、Python programming PDF
    Mathematics for Machine Learning: Linear Algebra Coursera Linear algebra、Eigenvalues and eigenvectors、Basis (Linear algebra)、Transformation matrix PDF
    Introduction to R DataCamp Intro to basics、Vectors、Matrices、Factors、Data frames、Lists PDF
    Intermediate R DataCamp Conditionals and control flow、Loops、Functions、The apply family、Utilities PDF
    Introduction to the Tidyverse DataCamp Data wrangling、Data visualization、Grouping and summarizing、Types of visualizations PDF
    Power BI Fundamentals DataCamp Introduction, Introduction to DAX, Data Visualization, Case Study: Analyzing Customer Churn, Data Preparation, Data Modeling PDF
    Tableau Fundamentals DataCamp Introduction, Analyzing Data, Creating Dashboards, Case Study: Analyzing Customer Churn, Connecting Data PDF

    Contact

    If you are interested in my profile, kindly contact me.

    • Yi-Chen Zhang (Chris)

    • | Based in Tilburg, The Netherlands
    • | Data Science and Society @ Tilburg University
    • | E-mail：st950314tw@gmail.com
    • | Phone：+31647293277
    •