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商業分析師 @凱基商業銀行股份有限公司2021 ~ Sekarang
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Data Analyst、Data Engineer、Data Scientist、Customer Experience Analyst
Dalam satu bulan
姚璇亨 Henry Yao 以人為本、技術為準；整合資源、解決問題；探索未知、建構知識。 Email: [email protected] ｜LINE: heinz.yao 工作經歷 凱基商業銀行股份有限公司：商業分析師 （DecNow） 第二波「鷹眼識詐聯盟」技術轉移，負責資料工程與模型導入之 Python 程式開發 運用 LightGBM 演算法建立預
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4-6 tahun
國立政治大學（National Chengchi University）
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數位內容
Director, Lab of next-generation sequencing @Stork Fertility Center2018 ~ Sekarang
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RD
Dalam tiga bulan
Accreditation Foundation (TAF) Lab Director, Auditor LDTs Medical Lab Taiwan Genomics and Genetics Society (TGGS) Technologist, Reporting and Issuing Int Medical Technologist American Society for Clinical Pathology (ASCP) Medical Technologist (ASCPi) Education National Taiwan University, Graduate institute of clinical medicine Doctor of Philosophy • FebMar 2024 Research Topic: Mitochondria, Regression models, Machine learning New South Wales University (Australia), Graduate school of biomedical engineering Master exchange • JunJun 2011 Research Topic: Perlecan purification and analysis (Human colorectal cance model) National Taiwan University, Graduate institute of Clinical Laboratory Master of Medical technology •Research Topic: Acute leukemia, Erythroblastosis, Telomeres National Taiwan University, Clinical Laboratory and
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National Taiwan University
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canditate, Graduate institute of Clinical medicine
Senior Product Manager @KKday2022 ~ Sekarang
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產品經理
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4-6 tahun
國立台北教育大學
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藝術與造型設計 產品設計組
工程師 @Taiwan Semiconductor Manufacturing 台灣積體電路製造股份有限公司2023 ~ Sekarang
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全端/後端工程師
Dalam tiga bulan
and completed the backend project « Never Stra y» (See Projects) • Enhanced communication skills through collaboration with Front-End and iOS members on «Stylish» • Adopted Agile and Scrum Methodology for personal project development to deliver features on time Research Assistant • National Chiao Tung University MarJul 2019 • Wrote the paper based on Machine Learning for computer-aided diagnosis and prepared the submission to international journals Assistant R&D engineer • Ever Fortune.AI NovFeb 2019 • Adjusted deep learning models and parameters with Python • Established x-ray labeling system for doctors Trainee • Wanin International FevJun 2016 • Developed the bee and Rockman games in
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4-6 tahun
National Chiao Tung University
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Bioinformatics and Systems Biology
Lead Data Scientist @Welhunt2021 ~ Sekarang
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Data Scientist, Data Analyst, Machine Learning Engineer
Dalam satu tahun
opportunity.I am willing to share my new knowledge with more people .Co-work and grow together with others, that is my goal in my life. * Open source contributor and maintainer * 7+ years software development experience [at] 9Rise, MediaTek and Welhunt * 4+ years data analytic & machine learning experience [at] MediaTek and Welhunt * Cloud Architecting and Backend Development * Familiar with team-collaboration Teach Manager, Data Scientist Taipei ，TW [email protected] Work Experience Welhunt, Lead Data Scientist, Oct 2021 ~ Now 1. Manage the data team by mentoring and one-on-one
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4-6 tahun
National Yang Ming Chiao Tung University
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Biomedical Informatics
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descent algorithm이나 Overfitting을 피하기 위해서 적용 기법 학습. Education 서울과학기술대학교 문예창작학과 전공, IT 융합 소프트웨어 전공Skills Artificial Intelligence Machine Learning Deep learning with TensorFlow Django Spark JAVA Project 피부 고민을 입력해봐 앱 : TF-IDF, BERT 활용 django 기반 화장품 추천 웹 앱 투자 유지 100억 이상 회사 복지 검색 앱
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서울과학기술대학교
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문예창작학과 전공, IT 융합 소프트웨어 전공Software Engineering Section Manager @仁寶2023 ~ Sekarang
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Lead Designer, Senior Consultant, Design Manager
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6-10 tahun
National Taipei University of Technology
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電機系Front-End / Back-End / Full Stack Web Developer
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NTUT
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Latar Belakang Profesional
Status sekarang
Sudah bekerja
Tahap pencarian kerja
Profesi
Machine Learning Engineer
Bidang Pekerjaan
Intelegensi Artifisial/Pemelajaran Mesin, Big Data, Saas / Cloud Services
Pengalaman Kerja
2-4 tahun
Management
Tidak ada
Keterampilan
Bahasa
Chinese
・
Bahasa ibu atau Bilingual
English
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Menengah
Preferensi Pencarian Pekerjaan
Jabatan
Data Scientist/Machine Learning Engineer
Tipe Pekerjaan
Full-time
Lokasi
Taiwan, Taipei, Taiwan, Hsinchu, 新竹市台灣, Taoyuan, 桃園區桃園市台灣, New Taipei City, Taiwan
Bekerja jarak jauh
Tertarik bekerja jarak jauh
Freelance
Tidak
Pendidikan
Institusi Pendidikan
國立臺北大學
Jurusan
統計研究所
Jerry Hsu
I am a passionate learner and always encourage myself to explore the possibilities of journey in my life.
Machine Learning Engineer
Taipei City | Taiwan
- National Taipei University | Master degree in statistics | 2017/09 - 2020/02
- National Sun Yat-sen University | Bachelor degree in mathematics | 2012/09 - 2016/06
Work Experience
CloudMile Inc. | Machine Learning Engineer | 2021/12 ~ Current | Taipei City
- Took charge in Hsinchu's Bigcity PLTV Precision Marketing project in the feature engineering and modeling
- Designed the retail related features and Machine Learning model.
- Developed the tree-based model in Python achieving 80% accuracy in classification task and 10% Decile-level MAPE in regression task.
- Collaborated with Data Engineer to complete the CDP platform by pandas and Looker studio.
- Co-lead with Solution Architect and Sales teams to deal with the pain points from overall clients
- Co-lead with Solution Architect and Sales in the project which was still in the business development stage and designed the Machine Learning solution in POC.
- Implemented the Machine Learning Solution in the POC (Proof of Concept) stage by Vertex AI
- Took the lead on the recommendation system’s internal project with 4 Machine Learning Engineers.
- Worked on the papers study and continued sharing among the ML team.
- Retrained GPT-2 model to replace the original model in the company’s product. (Still in the progress)
Academia Sinica CITI | Research Assistant | 2020/02 ~ 2021/12
- Reorganized and enhanced Automatic DJ system
- Proposed deep learning model surpassed the State of the Art model in the EDM subgenre classification task about 5% - 10% (Research Link)
- Refined the music structure annotation part to enable Automatic Disk Jockey System has ability to classify the segments of Electronic Dance Music into 6 different music structures.
- Converted the whole Automatic Disk Jockey System from Python 2 to Python 3.
- Contributed 2 AIDJ related researches in the AIDJ project (ICASSP, ISMIR)
- B.-Y. Chen, W.-H. Hsu, W.-H. Liao, M. A. M. Ram´ırez, Y. Mitsufuji, Y.-H. Yang, “Automatic DJ Transitions with Differentiable Audio Effects and Generative Adversarial Networks,” presented at the IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) (2022)
- A. Ramires et al., “The Freesound Loop Dataset and annotation tool,” in Proc. Int. Soc. Music Information Retrieval Conf., 2020
Skill & Certifications
Machine Learning skills
- Deep Learning (CNN, RNN, NN)
- Tree-based Model
- Music auto-tagging
- Predicted customer lifetime value
- Tabular data
Tools
- Python, R, SAS
- Numpy, Pandas, Scikit-learn
- GCP Vertex AI, AutoML
- Git, Airflow
Certrification
- Google Cloud Professional Machine Learning Engineer
- Google Cloud Professional Data Engineer
Jerry Hsu
I am a passionate learner and always encourage myself to explore the possibilities of journey in my life.
Machine Learning Engineer
Taipei City | Taiwan
- National Taipei University | Master degree in statistics | 2017/09 - 2020/02
- National Sun Yat-sen University | Bachelor degree in mathematics | 2012/09 - 2016/06
Work Experience
CloudMile Inc. | Machine Learning Engineer | 2021/12 ~ Current | Taipei City
- Took charge in Hsinchu's Bigcity PLTV Precision Marketing project in the feature engineering and modeling
- Designed the retail related features and Machine Learning model.
- Developed the tree-based model in Python achieving 80% accuracy in classification task and 10% Decile-level MAPE in regression task.
- Collaborated with Data Engineer to complete the CDP platform by pandas and Looker studio.
- Co-lead with Solution Architect and Sales teams to deal with the pain points from overall clients
- Co-lead with Solution Architect and Sales in the project which was still in the business development stage and designed the Machine Learning solution in POC.
- Implemented the Machine Learning Solution in the POC (Proof of Concept) stage by Vertex AI
- Took the lead on the recommendation system’s internal project with 4 Machine Learning Engineers.
- Worked on the papers study and continued sharing among the ML team.
- Retrained GPT-2 model to replace the original model in the company’s product. (Still in the progress)
Academia Sinica CITI | Research Assistant | 2020/02 ~ 2021/12
- Reorganized and enhanced Automatic DJ system
- Proposed deep learning model surpassed the State of the Art model in the EDM subgenre classification task about 5% - 10% (Research Link)
- Refined the music structure annotation part to enable Automatic Disk Jockey System has ability to classify the segments of Electronic Dance Music into 6 different music structures.
- Converted the whole Automatic Disk Jockey System from Python 2 to Python 3.
- Contributed 2 AIDJ related researches in the AIDJ project (ICASSP, ISMIR)
- B.-Y. Chen, W.-H. Hsu, W.-H. Liao, M. A. M. Ram´ırez, Y. Mitsufuji, Y.-H. Yang, “Automatic DJ Transitions with Differentiable Audio Effects and Generative Adversarial Networks,” presented at the IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) (2022)
- A. Ramires et al., “The Freesound Loop Dataset and annotation tool,” in Proc. Int. Soc. Music Information Retrieval Conf., 2020
Skill & Certifications
Machine Learning skills
- Deep Learning (CNN, RNN, NN)
- Tree-based Model
- Music auto-tagging
- Predicted customer lifetime value
- Tabular data
Tools
- Python, R, SAS
- Numpy, Pandas, Scikit-learn
- GCP Vertex AI, AutoML
- Git, Airflow
Certrification
- Google Cloud Professional Machine Learning Engineer
- Google Cloud Professional Data Engineer