Data Scientist, Data Analyst, Machine Learning Engineer
Within one month
view APP usage - app usage tree view is designed to let users be able to easily get customer’s usage data. Skill : Microsoft SQL Server · Kusto Query Language (KQL) · Azure Databricks · Microsoft Azure Dashboard · Tableau · Microsoft Power BI · Data Cubes · pySpark · Git Data Analyst • Bank SinoPac OctNov 2022 Personalized recommendation system on official website. Using machine learning model to find the potential customers, total uplift 20% click rate and 6% conversion rate, find out the important features to help business stakeholders give the proper campaign to different customers. Integrate user's transaction data, online behavior data, interest
Lead Data Scientist / Senior Data Scientist @Vinnovation Network 維諾森資訊科技
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2022 ~ 2023
資料科學家、資料科學工程師、機器學習工程師
Within one month
reached the Databricks Delta Lake. Established robust guardrails using the combined might of AWS Lambda, Apache Airflow and Databricks, ensuring that data stored in the DataBricks Delta Lake consistently met the highest quality benchmarks. MLOps / Machine Learning / Data Science Utilized Databricks to build a LightGCN-based recommendation system, fine-tuning for precise content delivery. Monitored model versions with MLflow, ensuring continuous integration. Seamlessly merged our recommendation system with Databricks Delta Lake, maintaining a high-quality data influx and elevating system performance. Developed a comprehensive MLOps service on Databricks, spanning from preprocessing to deployment
Chin Ya Chang Machine Learning Engineer New Taipei City , Taiwan [email protected] Current Position: AI Team - Software Engineer at the Central Weather Bureau, specializing in machine learning. Tasks include image generation, numerical prediction, data calibration, recommendation systems, and text generation using data from satellites, radar, and geographic information. I stay updated on AI advancements by studying research papers and implementing new approaches into projects. Recently, I've focused on deploying Large Language Models (LLM) in customer-oriented chatbots. Proficient in Docker for establishing and maintaining development environments, deploying projects to client environments.
HUEY-LONG CHEN 陳惠龍 Kaggle Competitions Expert: https://www.kaggle.com/alanchen1115 Competitions: NLP (自然語言處理): - Silver medal (solo): (Kaggle) U.S. Patent Phrase to Phrase Matching: Help Identify Similar Phrases in U.S. Patents, 2022/06/21 Recommendation system (推薦系統): - Silver medal (solo): (Kaggle) OTTO – Multi-Objective Recommender System: Build a recommender system based on real-world e-commerce sessions, 2023/02/08 - Bronze medal (solo): (Kaggle) H&M Personalized Fashion Recommendations: Provide product recommendations based on
nlp-rasa
recommender system
pytorch tensorflow
Employed
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Open to opportunities
Part-time / Interested in working remotely
More than 15 years
Purdue University
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School of civil engineering (Stochastic & statistical hydrology)
Traffic Optimization: Enhanced search traffic via strategic 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. - Additional Milestones: Served as an instructor for a securities company and contributed to AWS's blog. Certified in AWS and Azure. EducationNational Chengchi University MS in Computer Science Thesis:Explainable Deep Learning-Based Recommendation Systems: Enhancing the Services of Public Sector