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Sheldon
@chenkai_sun
Data Mining Engineer, Machine Learning and AI Specialist
China
Chinesisch
Über mich
Data mining and ML engineer with 4+ years of experience.
Master's in Computer Technology. I turn raw data into clear
insights and production-ready models. Worked across telecom,
energy, and government sectors — models actively used by major
organizations.
What I offer:
- Data mining and exploratory analysis
- ML modeling (classification, regression, clustering, forecasting)
- Data cleaning and feature engineering
- Statistical analysis and Python automation
- AI/LLM app development
Message me before ordering — let's discuss your project!
Kompetenzen
Sheldon
offline •
Durchschnittliche Antwortzeit: 1 Stunde
Meine Dienstleistungen
Desktop-Anwendungen
I will deliver a local vscode style pdf and markdown reader
Webflow
I will create a traffic dashboard for rest area vehicles and cargo
Arbeitserfahrung
China
Vollzeit • 4 yrs 7 mos
Algorithm Engineer
Jun 2023 - Present • 3 yrs 3 mos
• Conduct comprehensive business research and define product and algorithm development requirements for enterprise platforms. • Independently lead the full modeling lifecycle — from data exploration and feature engineering to model training, evaluation, and engineering deployment. • Collaborate with research institute experts to align model outputs with production requirements, ensuring on-time, high-quality project delivery. • Research and integrate cutting-edge AI technologies into client projects, resulting in 6 patents (3 granted) and 1 core journal paper on time series forecasting. • Successfully delivered 4 production-ready algorithm models currently in active use by energy and water resource management organizations.
Data Mining Engineer
Feb 2022 - Jun 2023 • 1 yr 4 mos
• Led data mining requirement research and authored the data mining sections of project proposals and bids. • Owned end-to-end model development following CRISP-DM methodology — from business understanding, data exploration, preprocessing, feature engineering, algorithm selection, to model validation and deployment. • Developed 3 production-deployed predictive models for a major telecom operator, with positive user feedback and sustained operational use. • Produced high-quality R&D documentation following enterprise engineering standards.
