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data. ETL data and construct data pipelines for retraining models/in production. Working in RPA( Robotic Process Automation) team, Web Scraping(crawler) and automating routine tasks to achieve labor cost reduction. JuneMay 2020 Data Scientist Intern @ Cathay Financial Holdings. 國泰金控 Digital data & Technology (DDT, 數數發) Research into Interpretable Machine Learning and its existing algorithms. Experimented LIME & SHAP on open data. ( GitHub ) Real Estate Evaluation model – Geographical/Credit Card data gathering, cleaning, feature engineering (Hit-rate performance improved from 55% to 70%) Python Machine learning Data Pipelines

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

report across devices and channels that result in the conversion rate of new users increased by 20%. • Design and build various payment methods, label-based search, dynamic pricing via different sale channels, and user-preference recommendation engine to optimise user experience and to boost CVR. • Supervised the AsiaYo Data team, establishing a data pipeline by Airflow™, and building a report system on Tableau™, to accelerate decision-making process across BUs. • Initiated behaviour tracking on the supply-side behaviour of hotels, homestay owners and large-scale operators, analysed their inventory and price synchronisation rate, and proactively

Achieved a 78% reduction in data storage requirements and significantly accelerated query speeds from hours to minutes through the seamless integration of lakehouse and data platforms. • Consult for business process automation using data techniques on loan, credit analysis and procurement process. • Design solutions for data leakage prevention and data security. • Implement end-to-end generative AI solution integrating with GraphDB, Chatbot & Avatar. Morrison Express Corp., Data Engineer, Jan 2021 ~ Jul 2022 • Orchestrated data pipeline, ETL process and API to connect diverse data systems and facilitate data migration. • Full accountability for overseeing data architecture and

析 EDA tool 使用狀況， 降低 25% 採購成本 Data Engineer, 建立結構化資料和非結構化資料之 automating data pipelines 設計 PB-level 資料 ETL 流程並 引入 阿里巴巴 data warehouse 分層設計 建立資料品質 realtime 監控機制，資料缺 失率 50% 降低到 <1% Taipei City, Taiwan 工作經歷 Data Engineer / Scientist MediaTek Inc. • 2019/07 - Present 協助晶片設

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

Architect CKmates Responsible for AWS cloud architecture and solution design. AprJan 2023 Cloud Data Engineer SinYi Realty Inc. Responsible for Azure cloud architecture and Data ETL Pipeline development and management. JanApr 2022 Backend Engineer AnFu Solutions Inc. Responsible for AWS cloud environment management and architecture, ETL data cleaning, and Python API development. Project experience: House+ : Data cleaning process management, using Elastic Beanstalk in the AWS cloud environment to establish a data cleaning process pipeline. Model training process management, using Elastic Beanstalk in the AWS cloud environment to establish a model training process pipeline