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Python for Data Science, AI & Development

Machine Learning with Python

Databases and SQL for Data Science with Python

Data Visualization with Python

Data Science Methodology

Data Analysis with Python

IBM Data Science Professional Certificate

Google Data Analytics Professional Certificate

Google

Data Analysis with R Programming

I'm a data scientist with a mission to disseminate Decision Intelligence, Process Automation, and reliable AI in my jobs. With my deep technical expertise in data manipulating and logical thinking ability, I can initiate analytical projects and process automation tasks from end to end. I've provided business recommendations and decisions through findings from data throughout my career.

Credentials & Certificates:
● Google Cloud Data Engineer Professional Certificate (Ongoing)
● IBM Data Science Professional Certificate
● Google Data Analytics Professional Certificate 
● Google - Data Analysis with R Programming 
● Google Ads Display Certification
● Google Ads Search Certification
● Google Analytics Individual Qualification

● Passed the course with the score of 98.85/100

Stanford University

2020 Shopee Code League- series of Kaggle competition in Asia- Pacific, ranked 30th (Top 20%)

Shopee Code League - I'm the Best Coder! Challenge

● Distinguished the attributes of every TW stock exchange sites and crawled the historical information 
● Conducted API integration and built LineBots for querying instant stock prices, foreign exchange rates and fund prices 

Web Crawler and LineBot Automation 100 Days Challenge

● Used supervised machine learning method, such as Random Forest and Gradient Boosting, to analyze datasets from Kaggle 
● Reached more than 80% accuracy on estimation by re-calculating the weights of different machine learning models  
● Classified datasets into clusters by using unsupervised machine learning method, such as K-means

Machine Learning and Deep Learning 100 Days Challenge

● Cumulative GPA 3.7/4.0,  ranked 10th in the department  
● Related Course taken: Marketing Management, Intermediate Accounting, Financial Management, Data Analysis and Manipulation with R, Statistics
● Enrolled in Creativity and Entrepreneurship Program and initiated Comelt, a daily automatic outfit recommendation system.

National Taiwan University

Global Operational Data Analyst

Preston (Shun-Ping) Yu

ASML

◆ Data Management and Governance: Managed CSCM data, restructured analytical dashboards, and redefined SAP calculation views (CV) and metrics with stakeholders worldwide 
◆ Operational Optimization and Automation: Organized systematic flowcharts of global supply chain way of working, and programmed automation bots for increasing global order fulfillment ratio 
◆ Strategy Planning and Project Management: Led the projects and managed the timelines and interests of global stakeholders, produced new features on SAP customized transactions, and reduced operational costs by 8,000 Euro per day
◆ Sourcing and Supply Chain: Handled global service order demands by conducting inter-company material supply, sourcing, and shipments

◆ Delivery Zone Optimization: Integrated Google Geocoding API with the data warehouse to parse parcel delivery points into latitudes and longitudes for delivery zone optimization, which reduced 53% of delivery time and increased drivers' efficiency
◆ Market Research + Strategy and Planning: Conducted formal market research on domestic logistics and delivery market, wholesale and retail market, and competitors' products through NLP and web crawler techniques, and developed business strategies for market penetration 
◆ New Product Implementation: Planned product testing plans, scripts, and PRDs for delivering unique features and integrating services via 3rd-party APIs which will create strong user adoption, and validated them with stakeholders through interviews and multiple testings (e.g. FVT, SVT, and Integration Tests)
◆ Existing Product Maintenance + Automation: Programmed daily manual workflows into automated processes through web crawling technique and webhook integrations, and deployed the programs onto cloud servers, such as Heroku and Google Cloud Platform (GCP)
◆ Team Management: Led the members from non-technical bases to be able to handle basic data and programmatic matters

GOGOX

Data and Product Engineering Team Lead

◆ Launched new expansion cities/territories indirectly through local agent partners and fleet partners
◆ Built an Automatic Dispatch System for matching instant orders with drivers’ locations by deploying a merged algorithm written by SQL and Python
◆ Used web crawler techniques to automatically dispatch orders to drivers and optimized whole market efficiency by 16% (increase of completion)
◆ Increased logistics backhauls by 30% by rolling out new business model with freight companies and gained delivery efficiency
◆ Planned strategies for establishing smoother funnel flows and lifted 10% and 42% of conversion rate for users and drivers respectively

GOGOX 

Project Manager, Operations & Data Analytics

◆ Conducted qualitative and quantitative researches which resulted in increasing 42% of driver conversion rate and overall revenue by 20%

Business Analytics Associate 

◆ Strategically and precisely segmented adopted sellers by utilizing MECE, and eventually lifted the amount of top sellers growth by 21% in a quarter
◆ Used web crawler techniques to fetch daily order amount on sellers' competitor websites and calculated their wallet share on Shopee
◆ Planned initiatives for sellers whose order share was below 50% by providing exclusive commission fee to increase their order share on Shopee, and eventually lifted 30% of their order share

Shopee

Business Analyst , Seller Management Associate

◆ Conducted Driver Conversion Project (with series of sub-programs) and shortened drivers' conversion day from 49 days to 24 days (in average) through various high-touch supporting experiments
◆ Led Incentive project and used R and SQL queries to analyze the WoW/ MoM spend efficiency and drivers' growth/retention rate for each driver cohort
◆ Discovered the persona of the potential riders who may take more trips in off-peak hours by using unsupervised machine learning model, and supported managers to launch relative programs smoothly

Uber

Sr.Operations Specialist, Project Mgmt & Analytics

◆ Supported managers figuring out legal business model by communicating with external stakeholders
◆ Clarified driver partners' journey maps after business relaunching, then alleviated their pain points
during their on-boarding journey
◆ Planned out new on-boarding flow and high-touch support strategies after interviewing with driver
focus groups

Operation Specialist

◆Revamped the site through UI/UX researches through Google Analytics. Increased 28% direct traffic

Driver Operations Intern

◆ Assist the administrative assistant in sorting out the complaints
◆ Assist the law assistant in sorting out the current laws for the committee to propose amendments and reconsiderations for reference

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