Data analyst based in Paris, France
#experiment #abtest #productanalytics #machinelearning #artificialintelligence #python #datascience
I’m a data experimentalist, passionate about data, product experiments, and data-driven business solutions.
Currently product data analyst at BlaBlaCar. SQL & Python coder.
Originally from Taiwan, formmally has worked in Dior as data analyst for almost 2 years.
I'm very familiar with product analytics experiments (aka A/B testing). I've carried out numerous experiement projects with Blablacar product & Dior product (dior.com)
Also, I've created several data visualization projects using BI tools such as Tableau, DataStudio, PowerBI, etc.
If you're interested my profile for opportunities, don't hesitate to contact me.
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Product Data Analyst
BlaBlaCar |
Paris, France
02/2022 - present |
In Data Service department at BlaBlaCar, my missions are consist of 4 pillars: |
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Data Analyst
Parfum Christian Dior |
Paris, France
07/2020 - 02/2022 |
In Data & Analytics team of Digital Department at Dior, my missions are consist of 5 pillars: |
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Paris Fashion Week Backstage Assistant
Haider Ackermann |
Paris, France
09/2019 - 09/2019 |
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Digital Marketing Intern
Codementor |
Taipei, Taiwan
01/2017 - 06/2017 |
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Msc in Data Science
emlyon business school |
Paris, France
09/2019 - 12/2020 |
Specialization: Data Science • Python (pandas, numpy, sklearn, keras, Tensorflow...) • Machine Learning • Deep Learning • Dataiku DSS • SQL, PostgreSQL • Text mining • Data Visualization (Tableau, PowerBI, R shiny) • R • AI and disruptive technologies • Google Analytics & Data Studio Learning trip to Silicon Valley in San Francisco: witnessed the silicon valley entrepreneur ecosystem and its amazing capability of technology innovation, visited Intel, IBM, Twitter and other tech companies in silicon valley. |
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Exchange Programme
Sciences Po Paris |
Paris, France
08/2018 - 06/2019 |
Specialization: Economics & Finance • Cryptocurrencies & Blockchain • Microeconomics: Information, Design and Institutions • Diplomacy & International Negotiation • Economic Outlook Assessment: Methods, Tools and Debates for Economists & Policy Makers • The Korean Peninsula at Crossroads |
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Bachelor of Sciences in International Business
National Taiwan University |
Taipei, Taiwan
09/2015 - 06/2018 |
Specialization: Strategy • International Strategy • Financial Management • Platform Strategy • Game Theory • Statistics |
• Download my CV in PDF here: English Last updated: Aug. 2021
| Project Name | Description | Skillset | Link | Last Update |
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| Retail Use Case: Unsupervised learning for customer clustering | As the role of CMO, performed RFM analysis and CLV prediction. Applied ML unsupervised models for customer segmentation. Delivered tailored marketing strategies for each cluster. | #MachineLearning #UnsupervisedLearning #Clustering #RFM #CLV #DataikuDSS #Python #pandas #numpy | May 2020 | |
| ML revenue prediction and optimization in banking | Applied ML regression models to predict revenue and classification models to determine sales offer to clients. | #MachineLearning #Regression #Classification #Python #sklearn #pandas #numpy | Jupyter Github | Feb. 2020 |
| Sentiment Analysis Dashboard | The dashboard aims to give insights and specify the industries that raises reputational risk for a FMCG company. | #DataViz #SentimentAnalysis #Tableau #PowerBI #Alteryx | Tableau PowerBI | Apr. 2020 |
| Gender Inequality Dashboard | Used OECD data to analyze key figures of gender inequality and showcased the plots with shiny dashboard. | #DataViz #R #shiny #shinydashboard #tidyverse | shiny | Oct. 2019 |
| Personal Website - Ya Hsuan Tai | Design my personal website to showcase my projects and experience. | #WebDesign #html #css #javascript #bootstrap | Website Github | May 2020 |
| New York Airbnb Demand & Price Dashboard | Used Airbnb Open data to analyze and visualize the airbnb damand and price of listings in New York City. | #DataViz #Tableau #Alteryx | Nov. 2020 |
| Certificate | Iss. Organization | Core Skillset | Link | Iss. Date |
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| Artificial Intelligence Strategy |
UC Berkley School of Information | AI implementation strategy • Organizational AI • AI Business Canvas • Approaches to AI Strategy • KPIs | July 2020 | |
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MIT 6.S191 Deep Learning |
MIT | Deep Learning • RNN • CNN • Keras • Deep Computer Vision • Deep Reinforcement Learning | ... | June 2020 |
Machine Learning Scientist Track |
Datacamp | ML models • Deep Learning • Image Processing • Time series • Data engineering | June 2020 | |
Contentsquare Expert in Web Analytics |
Contentsquare | Web Analytics • Customer Journey Analysis • Page Zoning Analysis • Session Replay | August 2021 |
| Course Name | Iss. Organization | Core Skillset | Link | Iss. Date |
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Image Processing with Keras |
Datacamp | CNN • Image Processing • Keras • Pooling Layer • Monitoring learning | June 2020 | |
Advanced Deep Learning with Keras |
Datacamp | Deep Learning • Keras • Functional API • Shared layers • Categorical embeddings • Multiple inputs/outputs | June 2020 | |
Machine Learning with PySpark |
Datacamp | Pyspark • Apache Spark | May 2020 | |
Feature Engineering for NLP |
Datacamp | NLP • Tokenization • tf-idf • SpaCy • Lemmatization • Text cleaning • n-gram modeling | May 2020 | |
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Machine Learning for Time Series Data |
Datacamp | Time series analysis • Advanced window functions • Signal processing and filtering • Spectral analysis | Apr. 2020 | |
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Dimensionality Reduction in Python |
Datacamp | PCA • t-SNE • Feature selection/extraction • High dimensional data exploration | Apr. 2020 |
Based in Paris, France
Product Data Analyst @ BlaBlaCar | Product experimentation with data
E-mail: yahsuan.tai@sciencespo.fr
Phone: +33 6 10 91 14 15