Richardlison Zhang
@richardlisonzhang
Data Scientist and Machine Learning Engineer
Hong KongWhat I'm looking for
I am a seasoned Data Scientist and Machine Learning Engineer with 6 years of experience in developing and leading data science projects across healthcare and retail fields. I have a strong background in machine learning algorithms, statistical analytics, and cloud platforms like AWS and Azure.
Throughout my career, I have worked with various companies, including TriNetX, Dunnhumby, and Moneyhub, where I have developed and implemented machine learning algorithms, designed and managed databases, and created data visualizations to drive business decisions.
I am proficient in a range of programming languages, including Python, SQL, R, and Scala, and have hands-on experience with databases like Oracle, SQL Server, and PostgreSQL. I am passionate about staying up-to-date with the latest advancements in machine learning and data science.
Experience
Work history, roles, and key accomplishments
Senior Data Scientist
TriNetX
Sep 2022 - Jun 2023 (9 months)
Developed a user-friendly interface for SQL Server, designed and managed a SQL Server to centralize over 500,000 datasets, and established a cloud infrastructure for model training, deployment, and prototyping.
Data Scientist
Dunnhumby
Apr 2021 - Jul 2022 (1 year 3 months)
Implemented and productionized a machine learning algorithm to classify transaction data, detected trends in customer behavior, and developed models over specific time periods.
Data Analyst
Moneyhub
Apr 2019 - Apr 2021 (2 years)
Designed and solved an interactive dashboard using Tableau to monitor real-time sales performance metrics, integrated data using Databricks, and customized visualization features.
Data Scientist
Swiss Re
May 2018 - Apr 2019 (11 months)
Built Spark cluster, classified numerous text and documents, and architected and deployed a robust personalized recommendation system.
Education
Degrees, certifications, and relevant coursework
Richardlison hasn't added their education
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Tech stack
Software and tools used professionally
Availability
Location
Hong KongAuthorized to work in
Job categories
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