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for performance and scalability. Developed databases that supported Web applications and Web sites. Developed system interaction and sequence diagrams. Big Data Engineer • Freelancer JuneJuly 2023 Built machine learning models using TensorFlow and Scikit-Learn libraries for predictive analysis of customer behavior. Designed and implemented a scalable data warehouse architecture using Apache Cassandra, PostgresDB, and Redis. Optimized database performance by tuning queries in SQL Server, Oracle and PostgreSQL databases. Implemented efficient data processing algorithms on large datasets with Apache Spark, MapReduce, and Pandas Python. Created dashboards in Tableau Desktop Professional Edition to visualize complex

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

陳昭儒(Chao-Ju Chen) Github [email protected] Education National Taiwan University Bachelor’s Degree, Electrical Engineering 2012 ~ 2017 Project Highlights Aggregating Files in one ETL, output 60B row to Data Warehouse Input :gzipped files(200GB in total) Task : Loading columns with values parsed from each gzipped file name. Wrote to BigQuery existing table(specific schema) in parallel. Tool: GCP Dataflow(Hosted Serverless Apache Beam) Result : The job took 40min to finish. Machine Type: n1-standard-1(1 vcpu, 3.75GB memory) Autoscaled up to 122 workers at peak. The data

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...

Supervise the public facilities relocation. Efficiently coordinate the team to complete before due. PPIC (Project Planner and Inventory Control) Vessel Staff • PT Gerbang Saranabaja AugustOctober 2016 | Jakarta, Indonesia Successfully planned, estimated, and controlled more than five oil and gas, and chemical industry projects. Education Diponegoro University Geological Engineering •Thesis about Mentawai's Accretion Zone Skills GIS Software Python Programming SQL Database Data Engineering Microsoft Office ArcGIS Pro ArcGIS Desktop ArcGIS Enterprise Survey123 ArcGIS Field Maps Geocortex Global Mapper Languages Indonesian — Native or Bilingual English — Fluent Certification Microsoft Certified: Azure AI FundamentalsArcGIS Pro ProfessionalMicrosoft Certified: Azure Data FundamentalsEnterprise

real-time data processing solutions for timely decision-making and improved customer experience. Increased efficiency of data-driven decision making by creating user-friendly dashboards that enable quick access to key metrics. Enhanced data quality by performing thorough cleaning, validation, and transformation tasks. Designed scalable and maintainable data models to support business intelligence initiatives and reporting needs. Managed cloud-based infrastructure to ensure optimal performance, security, and cost-efficiency of the company's data platform. Evaluated various tools, technologies, and best practices for potential adoption in the company's data engineering processes. Migrated legacy

predictive maintenance solutions, and abnormal detection algorithms for semiconductor advanced packaging, specifically focusing on wire bonding and advanced process control techniques. 1. Implemented efficient data pipelines, ensuring seamless flow for analysis, and developed advanced AI platforms tailored for semiconductor industry needs. Skills：Time series analysis, MLOps Senior Data (Innovation) Engineer • Micron Technology, Inc. 九月二月 2023 Researched new technology data stack to improve data quality and developed PoC on ELT, data management and governance. Achievement： Provided data governance PoC on ETL project by Marquez and Openlineage. Skills：Data governance, GCP, k8s Data