About Siying
En tant que data scientist, je traduis des idées commerciales en actions opérationnelles et utilise des algorithmes pour améliorer les performances. Je travaille avec des développeurs pour intégrer les prototypes dans les produits finaux.
Au cours de la dernière décennie, j'ai travaillé sur une variété de données du monde réel dans des contextes scientifiques et industriels. Ma force repose sur mes compétences analytiques, qui incluent non seulement la modélisation statistique ou machine learning mais surtout la méthodologie de conception de projet pour obtenir des données utiles.
Spécialités: modélisation statistique de séries temporelles, machine learning, programmation, nettoyage de données, analyse de données, plan d'étude (études cliniques, études d'observation), communication et rapport scientifique.
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Le tarif affiché sur mon profil est indicatif et est négociable
English
Native or bilingual
French
Fluent
Chinese
Native or bilingual
Can work on-site
Paris (up to 50km), Antony (up to 10km)
Experience
- DataVacData scientistMEDICALMay 2020 - Today (6 years and 1 month)Paris, FranceMedical records digital transformation- Applied the optical mark recognition (OMR) algorithm for reading medical charts.- Applied the optical character recognition (OCR) algorithms for numeric and alphabetic input recognition.
- VeoliaData scientistENERGY AND UTILITIESMay 2017 - October 2019 (2 years and 5 months)Urban-District heat load prediction projectThe objective of the heat load forecast project is to create a decision tool to optimize the operations of heat productions in the power plants. This tool will be able to forecast the heat consumption demand with good precision and guide the decision for boiler operations in the local plants. In this project, I
- led the data analysis and applied a machine-learning algorithm to detect sensor failure periods and make predictions for heat load needs.
- auto-mated the pipeline of data ingestion - data preprocessing - model training - prediction - post-processing - dashboarding in the proof of concept (POC) prototype using Google Cloud Platform.
- collaborated with the developer team on bringing the POC to industrialization.
This product is now used in a city in Europe. It solved the problem that the traditional method cannot obtain heat consumption information in real-time and prevented over and under heat generation. - VeoliaData scientistENERGY AND UTILITIESMarch 2019 - October 2019 (7 months)Smart Baseline Web ApplicationThis project aims to provide a user-friendly web interface to evaluate the energy savings provided by the client's service. It had preset several types of statistical and machine learning algorithms and provided interactive templates for user's computational needs. In this project, I
- maintained the R code.
- led the interface layout code refactoring for the second version.
- coordinate with data scientist/developer on Git organizations
- provided expert opinion on statistical concepts for users to understand.
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Education
- PhDUniversity of Michigan2013Topic: The Effects of Lead Exposure at Different Stages of Life on Neurobehavioral and Metabolic Outcomes Course work: Environmental Health Science, Biostatistics, Epidemiology Awards and Honors: ● University of Michigan School of Public Health Environmental Health Sciences scholarship ● University of Michigan Rackham graduate student research awards ● University of Michigan School of Public Health risk science center fellowship ● University of Michigan Rackham conference travel grant
Certifications
- Python Object-Oriented ProgrammingData camp2019
- Python programming trackData Camp