Tsai Chen Hsiung

Enthusiastic, fast-learning data scientist with 4 years hands-on experience in ML and excellent communication skills seeking for a challenging internship opportunity in a progressive company to utilize modeling and analytics skills to create value.

● Built up data pipeline integrating web crawling with MySQL database with task-tracking push notification. 

● Collected over 3000 news by labor saving data crawling pipeline that integrated AWS Lambda and Zyte. 

● Auto-processed 300k articles hourly with PageRank keyword model for convenient access to a 10 members team. 

● Clustered industry news to extract trending events using unsupervised learning methods: LDA, HDBSCAN. 

Projects: 

1) Seasonal industrial trending topics, AI Hub, Taiwan. 

₋ Reached human-picked accuracy of trending market topics through XGBoost text classifier. 

₋ Saved 70% of customer time discovering the stakeholder influencers by deploying SNA analysis. 

2) Potential LinkedIn customer matching, Woodmax Taiwan & Conquer Co., Ltd. 

₋ Utilized AWS and cloud functions to automate data scraping and analysis pipeline. 

₋ Cross-matched 10000 profiles within 10 seconds by auto-summarizer to rank top potential customers.

Selected courses: 

Machine learning, Database design, Advanced statistics in data science, Data Structure and algorithm

● Led five undergraduates student team to build NLP-based Youtube video summarizer as Chrome extension. 

● Achieved <3 sec video summary by integrated AWS service: S3, API Gateway, Sagemaker and HuggingFace model. 

● Implemented error-shooting ensemble model resulting in 15% improvement on user satisfaction.

Projects 

Athena, Axxess Hackathon Winner 

● Implemented Firebase and Flask base backend server to support API requests interaction. 

● Augmented user query information by 25% using Roberta sentiment analysis to detect users’ prompt emotions. 

● Integrated ChatGPT into voice-to-text Whispir service to reach over 90% satisfaction in judges’ selection 

Next Big Coin, HackDFW Top5 

● Created a monitoring web app to help the next generation with their financial management. 

● Designed economic indexes to inspect users’ finance based on their investments, expenses, and income.