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黃凡
New Graduate
Hi, 我是Daniel。
大學期間，系上的統計學開啟了我學習R語言的契機，也讓我開始對coding產生興趣。在努力不懈的自學與透過實習累績一些經驗之後，我申請上海外的統計碩士，並於2023年9月順利畢業。下一個階段的目標是成為一位機器學習工程師。
ML6
KU Leuven
台灣台北
Professional Background
- Current statusUnemployed・Ready to interview
- ProfessionMachine Learning Engineer
- FieldsArtificial Intelligence / Machine Learning・Big Data・Software
- Work experience1-2 years (1-2 years relevant)
- ManagementNone
- Skills
- LanguagesEnglish・FluentPolish・BeginnerChinese・Native or Bilingual
- Highest level of educationMaster
Job search preferences
- Desired job typeFull-time・Interested in working remotely
- Desired positionsAI工程師、機器學習工程師、深度學習工程師、資料科學家、Machine Learning Engineer、Deep Learning Engineer、Data Scientist
- Desired work locationsTaipei, Taiwan・Taichung City, Taiwan・Hsinchu City, Taiwan 300
- FreelancePart-time freelancer
Work Experience
助理工程師
Taipei City, Taiwan
1. Benchmark一系列的Pose Estimation模型，包括HRNet, Higher HRNet, Efficient HRNet, and Lite-HRNet
2. 開發Efficient HRNet與Lite-HRNet的inference function
數據運營實習生
Taipei City, Taiwan
1. 自動化生成財務報表與壞帳報表，替財務節省約8小時/月
2. 從8個顧客平台爬取數據後，計算每日數據落差率與利潤率
3. 藉由分析交易紀錄找出demand side的購買偏好，並將分析結果視覺化
Education
Master of Science (MS)
・
Statistics and Data ScienceActivities and societies
ESN Leuven Basketball Team
Description
Machine Learning and Inductive Inference
Data Mining and Neural Networks
Support Vector Machines: Methods and Applications
Statistical Software
Genetic Algorithms and Evolutionary Computing
Stochastic Models
Advanced Time Series Analysis
Linear Models, Generalized Linear Models
Concepts of Bayesian Data Analysis
Fundamental Concepts of Statistics
Bachelor’s Degree
・
森林環境暨資源學系Activities and societies
爵士音樂社
Description
Calculus (general Mathematics) (b)(1)
Calculus (general Mathematics) (b)(2)
Statistics
Introduction to Biometrics using R
Engineering Statistics
Computer Intensive Statistics in Ecology
Mathematics for Life Scientists
Mechanics of Materials
Mechanics of Bio-composite Materials
Computer Programming in Python
C/C++ Programming
Licenses & Certifications
Harvard University
SAS 9.4 Base Programming - Performance-Based Exam Score Report
SAS