Data Analyst with a Business Twist

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Who am I?

Born and raised in Taiwan, I took a big leap and moved to Paris to get my Master in International Business at Paris-Dauphine. I have worked in various fields but always found myself coming back to one thing: numbers. That is how I stumbled into data analysis. I love diving into complex problems and fishing out insights that explain what is really going on.

About Me

Education

2020-2021
Paris Dauphine University
International Business, Master (Bac+5)
2013-2018
National Chengchi University
Economics, Psychology, Dual Degree (Bac+4)
Nov 2023 - Feb 2024
Data Analyst
ECHO AI
May 2021 - July 2022
Account Manager
SIVECO
Jul 2019 - Sep 2020
Purchasing Consultant
Freelance
Aug 2018 - Jul 2019
Purchaser
ENXI

Experience

A data-driven professional with 5 years of international experience across Taiwan and France, I am deeply fascinated by the impact of data on business operations. With a diverse background spanning multiple industries, I am eager to leverage my analytical expertise and cross-cultural experience to drive strategic growth and operational excellence in a dynamic organization.

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Skills

R
Tableau
python
SQL
powerBI
excel

Projects

Divvy bikes users analysis

#Python #Pandas #Seaborn #Matplotlib #Kaggle

Dive into the intriguing analysis of usage patterns of the Chicago public bike system, unveiling key difference between casual riders and loyal annual members for better conversion strategy.

Case Study
Divvy bikes users analysis
Newspaper Subscribers Diagnose

Newspaper Subscribers Diagnose

#SQL

Enhance understanding of the dynamics between online and paper newsletter subscribers and their monthly retention rates. Analyze subscriber behavior to develop strategies for improving engagement and retention across both digital and traditional platforms

Case Study

Scraping IMDB Top 250 Movies

#Python #Web Scraping #BeautifulSoup

This project involves extracting data from IMDb's Top 250 movies list, including details like movie titles, release years, director names, ratings, and genres. The goal is to analyze trends, ratings, and patterns among the highest-rated movies on IMDb, offering insights into what makes a movie successful and popular among viewers.

Case Study
Scraping IMDB Top 250 Movies
PowerBI Dashboards

PowerBI Dashboards

#PowerBI #Dashboards

Check out my PowerBI portfolio

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