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4 à 6 ans
6 à 10 ans
10 à 15 ans
Plus de 15 ans
Deputy Data Team Lead @ALFRED SYSTEMS INC.2022 ~ Présent
・
數據分析師、資料科學家
Dans 2 mois
your company, bringing innovation and value. I am confident that through teamwork and innovative thinking, we can collectively face challenges and drive sustained business growth and success. SKIILS A/B Testing, North Star Metric, Data Context, Metrics Design, User Journey, Data Studio, Dashboard, Visualization, SQL, Python, R, Text Mining, NLP, Funnel Analysis, Study Design, Natural Experiment, Causal Inference, Case-Control Study, Cohort Study, Potential Outcome Framework, Causal Discovery, Growth Strategy/Framework, Survey Design/Analysis, Thoughtful Execution Framework, Communication, Workshop Taipei, Taiwan ([email protected] https://github.
Employé
・
Ouvert à de nouvelles opportunités
Temps plein / Intéressé par le travail à distance
6 à 10 ans
東吳大學
・
資料科學
資料科學家 @格萊鉑數位有限公司2018 ~ Présent
・
資料分析師
Dans 1 mois
技術於航安風險因素分析 』 。 大學：淡江大學資訊管理系 (2007/9 ~ 2011/6)。 Blogs： Data is anything but not everything Skill Machine Learing Support Vector Machines Random Forest Gradient Boosting NavieBayes Regression Maximum Entropy Lasso Text Mining Jieba LDA TFIDF Crawler Selenium Pyside Beautifulsoup Json Database Oracle MariaDB MySQL Analysis Tools SPSS SAS Tableau Programming Python R SQL Work Experience EVA AIR，SepJun研究所) 飛行操作風險評估系統 利用即時的氣象資料
Employé
・
Ouvert à de nouvelles opportunités
Temps plein / Intéressé par le travail à distance
6 à 10 ans
淡江大學
・
資訊管理
Expertise & Innovation Lead, Cloud @fifty-five2023 ~ Présent
・
Cloud Solution Architect
Dans 1 mois
SEO for major platforms. - Large-Scale Website Project: Contributed to a high-value SaaS website launch, overseeing deployment and development. - Data Analysis & Systems : Developed GCP-centric data systems, boosting data integration and analysis. - Team Leadership & Innovation: Created a Vertex AI recommendation engine, advancing data team methodologies. EducationNational Chengchi University MS in Computer Science Thesis:Explainable Deep Learning-Based Recommendation Systems: Enhancing the Services of Public Sector Subsidy Online Platform Courses Taken: Big Data Analytics, Data mining, Reinforce Learning, Algorithm and BlockchainNational Cheng Kung University MS in Resource Engineering Thesis: Text-mining and machi...
Employé
Temps plein / Intéressé par le travail à distance
4 à 6 ans
National Chengchi University
・
Computer Science
Data/ML Engineer @凱基證券2018 ~ Présent
・
Data Scientist, Data Analyst, Machine Learning Engineer
Dans 1 mois
Employé
Temps plein / Intéressé par le travail à distance
6 à 10 ans
國立台北科技大學研究所
・
資訊管理Temps plein / Intéressé par le travail à distance
6 à 10 ans
國立台北大學
・
統計
接案工程師 @Freelancer2022 ~ 2022
・
Sr. Backend Engineer, Sr. Software Engineer
Dans 1 mois
optimizing table schema 3rd-party backend services integration, e.g. FB API, Linebot(LIFF), SMS system Used Elasticsearch to build search engine for social public opinion analysis system Handled DB replication mechanism and drafted a Disaster recovery plan for the product. Data Analysis with Python, including ETL, text-mining Client Side Experience Used Vue and Vuex to build SPA website Connected backend APIs to implement separation of frontend / backend Refactored old project code by creating more reusable components, and improved client-side performance Developed RWD page with Bootstrap and handled some hotfix issues Code review for
Employé
・
Ne recherche pas de nouvelles opportunités
Temps plein / Intéressé par le travail à distance
4 à 6 ans
國立臺灣大學
・
機械工程學系
System Developer @Appaegis2019 ~ Présent
・
後端工程師 全端工程師
Plus d'1 an
Web Developer JulyFebruary 2015, Taipei, Taiwan - Maintained and reinforced the server (e.g. added new functions about Alipay) - Built product web page EDUCATION National Taiwan University, Master of Science in Information Management, September 2013 – July 2015 GPA 3.98 / 4.3 Dedicated to data and text mining related researches in Business Intelligence Laboratory. Advised by Prof. Chih-Ping Wei National Taiwan University, Bachelor of Science in Information Management, SeptemberJune 2013 GPA 4.0 / 4.3 Honored with Dean’s ListSpring) ACHIEVEMENT Mozilla Firefox OS App days (Hack day), January 2013
Employé
・
Ne recherche pas de nouvelles opportunités
Temps plein / Intéressé par le travail à distance
4 à 6 ans
台灣大學
・
資訊管理
Senior Information Engineer @Wistron Corporation2016 ~ Présent
・
資訊工程師
Plus d'1 an
陳倬儒 Andy Chen Senior Information Engineer [email protected] Experiences Wistron Corporation, Senior Information Engineer, Sep 2016 ~ Now Develop and maintain web based ERP system Inventory Management module SA and programmer Far Eastern International Bank, MIS Intern, Jan 2012 ~ Jan 2013 Solve users' computer problems Operating system and software installation Hardware maintenance Education M.S. in Information Management, National Chung Cheng University, Sep 2013 ~ Aug 2015 Thesis topic: Predicting Box-Office of Movies Using Online Reviews Data mining, Text mining Thesis advisor: Ya-Han Hu B.S. in Information Management, Yuan Ze
Employé
Temps plein / Intéressé par le travail à distance
4 à 6 ans
National Chung Cheng University
・
Institute of Information Management系統應用開發課 Senior Engineer @久元電子股份有限公司 Youngtek Electronics Co.2019 ~ Présent
・
資深前端工程師
Dans 1 mois
Employé
・
Prêt à l'interview
Temps plein / Intéressé par le travail à distance
6 à 10 ans
中原大學
・
資訊管理學系
Senior Software Engineer @GGV Capital2021 ~ Présent
・
Dans 1 mois
cleansing, and aggregation Ensured the stability and performance enhancement of a regulatory reporting platform, demonstrating experience in data analysis and process optimization. Applied regulatory frameworks (Basel III) to data analytics, showing an ability to understand and implement complex regulatory requirements. Handled detailed data reconciliation tasks (RWA, EAD, Collateral Haircut, etc.), relevant to business insights mining and data analysis. Coordinated with various teams to manage interdependencies. MarFeb 2017 Taipei, Taiwan & Shanghai, China Software Engineer STORM Consulting, A Loyalty Agency Building upstream sourcing system from different customer channel including email, text message, WeChat, a...
Employé
・
Ouvert à de nouvelles opportunités
Temps plein / Intéressé par le travail à distance
6 à 10 ans
National University of Kaohsiung
・
Electrical and Electronics EngineeringLe Plan de Recrutement le Plus Efficace et Facile
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Definition of Reputation Credits
Technical Skills
Specialized knowledge and expertise within the profession (e.g. familiar with SEO and use of related tools).
Problem-Solving
Ability to identify, analyze, and prepare solutions to problems.
Adaptability
Ability to navigate unexpected situations; and keep up with shifting priorities, projects, clients, and technology.
Communication
Ability to convey information effectively and is willing to give and receive feedback.
Time Management
Ability to prioritize tasks based on importance; and have them completed within the assigned timeline.
Teamwork
Ability to work cooperatively, communicate effectively, and anticipate each other's demands, resulting in coordinated collective action.
Leadership
Ability to coach, guide, and inspire a team to achieve a shared goal or outcome effectively.
Professional Background
Statut Actuel
Employé
Progrès de la Recherche d'Emploi
Professions
Data Scientist, Data Engineer, Big Data Engineer
Fields of Employment
Intelligence Artificielle / Machine Learning, Big Data, SaaS / Services Cloud
Expérience Professionnelle
2 à 4 ans
Management
I've had experience in managing 1-5 people
Compétences
Langues
English
・
Professionnel
Chinese
・
Natif ou Bilingue
Job search preferences
Position Désirée
資料科學家
Type d'emploi
Temps plein
Lieu Désiré
台灣高雄市, 台灣台北市, 台灣新竹市, 台灣台南市, 日本, 新加坡, 中國
Travail à distance
Intéressé par le travail à distance
Freelance
Oui, je suis indépendant à temps partiel
Éducation
École
休士頓大學 (University of Houston)
Spécialisation
統計與資料科學
Sam (Hsien-Hao) Hsu
Recently, a Data Engineer in a project-oriented team at PChome Online. Formerly a Data Science intern at an insurance company, DHL Express PM intern, Nepal volunteer, Dance Club instructor, theater assistant in college. My diverse background builds up my personality, such as self-motivating, problem-solving, enjoying challenge, leadership and analytical thinking.
Taipei City, Taiwan +886952292118 [email protected]
Education
University of Houston
Master of Science in Statistics and Data Science • 2019 - 2020
Related Courses: Data Visualization, Data Mining, Deep learning, Neural Network, BigData Analytics
University of Connecticut
Exchange Program • 2018 - 2019
Related Courses: Project Management, Algorithms, Manufacturing Engineering, Business Analysis
National Chengchi University
Bachelor of Science in Mathematical Science • 2014 - 2018
Related Courses: Data Structures, Numerical Analysis, Operation Research, Optimization Theory
Work Experience
Data Engineer
PChome Online
March 2021 - Present
Taipei, Taiwan
- Data Science
- Design segment marketing tags for members by purchase and browsing history. Predict the next customer's purchase by time series model.
- Utilize campaign data to predict updated customer interest by multi-label machine learning models.
- Data Analysis
- Apply statistical models to define frequently repurchased items to support the company's future strategy.
- Lead summer interns to complete the project on discount usage and form a coupon strategy which could increase revenue.
- Data Engineer
- Develop automatically updated ETLs by AirFlow, Oracle/Sqoop/HiveSQL or GCP(Cloud Storage, Compute Engine, BigQuery) to ensure comprehensive data collection and robust, updated database.
- Build up analytical database by Spark from Hadoop service.
Data Science intern
TransGlobe Life Insurance
August 2020 - February 2021
Taipei, Taiwan
Establish Python Machine Learning models and obtain databases by SAS and SQL to predict high potential customers for agents. Increase agents' sales rate by a factor of three
Skills
Python
Scikit-Learn, TensorFlow
Apache Software
Spark, Hadoop, Airflow, Sqoop, Hue, Hive
Others
SQL, Bash/Shell, SAS, R, C++, GCP
Quantitative ML/DL Side Projects
Kernel Ridge Regression
Predict stock price by KRR with 0.8% RMSE. Adjust model by top 10 error cases
Text Classification
Construct a 70% accurate classifier by Logistic Regression, Natural Language Process to identify 200 corpuses
Digital Recogniser
Apply K-Nearest-Neighbor, Support Vector Machine, PCA to identify tons of digits with 81% accuracy
Deep Learning
Forecast stock price with 1.3% RMSE by using Auto Encoder technique, MLP predictor. Seek out the importance of each input and improve the algorithm
Sam (Hsien-Hao) Hsu
Recently, a Data Engineer in a project-oriented team at PChome Online. Formerly a Data Science intern at an insurance company, DHL Express PM intern, Nepal volunteer, Dance Club instructor, theater assistant in college. My diverse background builds up my personality, such as self-motivating, problem-solving, enjoying challenge, leadership and analytical thinking.
Taipei City, Taiwan +886952292118 [email protected]
Education
University of Houston
Master of Science in Statistics and Data Science • 2019 - 2020
Related Courses: Data Visualization, Data Mining, Deep learning, Neural Network, BigData Analytics
University of Connecticut
Exchange Program • 2018 - 2019
Related Courses: Project Management, Algorithms, Manufacturing Engineering, Business Analysis
National Chengchi University
Bachelor of Science in Mathematical Science • 2014 - 2018
Related Courses: Data Structures, Numerical Analysis, Operation Research, Optimization Theory
Work Experience
Data Engineer
PChome Online
March 2021 - Present
Taipei, Taiwan
- Data Science
- Design segment marketing tags for members by purchase and browsing history. Predict the next customer's purchase by time series model.
- Utilize campaign data to predict updated customer interest by multi-label machine learning models.
- Data Analysis
- Apply statistical models to define frequently repurchased items to support the company's future strategy.
- Lead summer interns to complete the project on discount usage and form a coupon strategy which could increase revenue.
- Data Engineer
- Develop automatically updated ETLs by AirFlow, Oracle/Sqoop/HiveSQL or GCP(Cloud Storage, Compute Engine, BigQuery) to ensure comprehensive data collection and robust, updated database.
- Build up analytical database by Spark from Hadoop service.
Data Science intern
TransGlobe Life Insurance
August 2020 - February 2021
Taipei, Taiwan
Establish Python Machine Learning models and obtain databases by SAS and SQL to predict high potential customers for agents. Increase agents' sales rate by a factor of three
Skills
Python
Scikit-Learn, TensorFlow
Apache Software
Spark, Hadoop, Airflow, Sqoop, Hue, Hive
Others
SQL, Bash/Shell, SAS, R, C++, GCP
Quantitative ML/DL Side Projects
Kernel Ridge Regression
Predict stock price by KRR with 0.8% RMSE. Adjust model by top 10 error cases
Text Classification
Construct a 70% accurate classifier by Logistic Regression, Natural Language Process to identify 200 corpuses
Digital Recogniser
Apply K-Nearest-Neighbor, Support Vector Machine, PCA to identify tons of digits with 81% accuracy
Deep Learning
Forecast stock price with 1.3% RMSE by using Auto Encoder technique, MLP predictor. Seek out the importance of each input and improve the algorithm