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hybrid cloud architecture using GCP, especially include local K8S, GaKE, Docker and other services. Implemented CI/CD systems and designed internal software processes, communicating closely with executive leadership. (2) Achievement: Enhanced IT infrastructure flexibility and scalability, improved system reliability and operational efficiency, reduced costs. 4. Data Platform and Personalized Recommendation System: (1) Responsibility: Built AWS data platform including ETL, data warehousing, and lakes. Led development of a personalized recommendation system using AWS Personalize, custom algorithm and Generative AI, e.g. OpenAI, Genimi. (2) Achievement: Boosted customer conversion rates by 2% through

in Data Analysis, Machine Learning and Deep Learning, familiar with Modeling, Data Analysis, Image Processing, Machine Learning, and Deep Learning. Taipei City, Taiwan WORK EXPERIENCE Lead Data Scientist / Full Stack Data Scientist, Vinnovation Network, Taipei, Taiwan Data Engineering / Data Analysis Spearheaded the development of a fully automated data integration pipeline that aggregated diverse data sets into a S3 Data Lake. Successfully integrated a range of data sources, including real-time data feeds from AWS Redshift and DocumentDB, as well as batch processes to import traditional CSV files. Utilized Databricks for large-scale data processing, leveraging

Viky Aji Siswantoro Gresik, East Java, [email protected] Viky Aji Siswantoro As a skilled data engineer with expertise in Python programming, data engineering, data analysis, machine learning, and data visualization with Tableau, I offer a comprehensive set of skills to tackle complex data challenges . With a background in data engineering, I have the ability to design, build, and maintain data pipelines, ensuring efficient and accurate data processing. I am proficient in using Python to implement scalable and reliable solutions, leveraging frameworks and libraries such as Pandas and NumPy. In addition to my data engineering

R 語言。 專案： CHR ｢人格測評信效度驗證｣ 數據分析 空壓機數據分析 電鍍製程數據分析 鋼捲數據分析競賽 交通影像辨識模型建模 Conduct field assessment, issue identification, data filtering, data engineering, modeling, prediction, result visualization, and analysis on data provided by the field. Also, construct code for data automation processing project requirements, primarily utilizing Python, with some usage of the R language. CHR "Personality Assessme...

. Mechanical Engineer (Vehicle Chassis), HAITEC, 2016//4 Design and develop steering wheel and airbag. SKILLS Programming Python C++ Development Tools PyTorch OpenCV Linux Docker Git Domain knowledge Super resolurion Object detection Face detection and recognition Machine Learning Web Crawling EDUCATION INSTITUTE FOR INFORMATION INDUSTRY Data Engineering and Data Analytics Intensive Training Program (2018//11) NATIONAL TAIWAN UNIVERSITY (NTU) Master of Mechanical Engineering (2013//7) NATIONAL TAIWAN UNIVERSITY (NTU) Bachelor of Mechanical Engineering (2009//6) CERTIFICATES Microsoft Professional Program: Data Science Certificate TOEIC Golden Certificate (915/990) PROJECTS

3 年 SQL 及 SPL 開發經驗，力求優化查詢效能 2 年網頁後端開發經驗，貢獻 CDNJS 大型開源專案 (9.4K stars) Machine Learning Skills Sklearn, Numpy, Pandas, Scipy, seaborn, shap value, xgboost, random forest, linear regression, feature engineering, high dimension clustering (fit JD key word) Data Engineering & Analysis Skills Airflow, NiFi, Dataflow, BigQuery, Cloud Function, Plotly/Dash, Splunk Cloud Platform GCP: Cloud Function, Dataflow, Composer, BigQuery 學歷National Chiao Tung University Computer Science - Data Mining LabTatung University Computer Science

with an open mind and proactive approach. Recently, I've been researching M icro Frontends and LangChain . Excited about taking more challenging roles in the future, I aim to blend these new skills with my existing expertise to offer innovative solutions to the team. Work Experience Frontend Engineering Manager, Data Science • Vpon Big Data Group FebruarySeptember 2023 | Taipei, Taiwan 1. Responsible for frontend team recruitment, expanding from one to three members within a year. 2. Provided new engineer training with comprehensive development standards for quick integration. 3. Conducted code reviews to ensure