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Data science and machine learning research engineer with experience building and maintaining large-scale datasets, engineering features, and deploying predictive/deep learning models in production environments. Skilled in SQL/Python, time-series forecasting, defect image detection pipelines, and end-to-end experimentation (e.g., A/B testing). Strong quantitative background with MSc-level computational mathematics and computational science education. Proven track record in building high-performing classification models, improving efficiency significantly, and communicating insights through analytics and visualization.…Data science and machine learning research engineer with experience building and maintaining large-scale datasets, engineering features, and deploying predictive/deep learning models in production environments. Skilled in SQL/Python, time-series forecasting, defect image detection pipelines, and end-to-end experimentation (e.g., A/B testing). Strong quantitative background with MSc-level computational mathematics and computational science education. Proven track record in building high-performing classification models, improving efficiency significantly, and communicating insights through analytics and visualization.

Xia Xiong Cheng

Data Scientist, Data Engineer, Software Engineer, +1

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Data science and machine learning research engineer with experience building and maintaining large-scale datasets, engineering features, and deploying predictive/deep learning models in production environments. Skilled in SQL/Python, time-series forecasting, defect image detection pipelines, and end-to-end experimentation (e.g., A/B testing). Strong quantitative background with MSc-level computational mathematics and computational science education. Proven track record in building high-performing classification models, improving efficiency significantly, and communicating insights through analytics and visualization.…Data science and machine learning research engineer with experience building and maintaining large-scale datasets, engineering features, and deploying predictive/deep learning models in production environments. Skilled in SQL/Python, time-series forecasting, defect image detection pipelines, and end-to-end experimentation (e.g., A/B testing). Strong quantitative background with MSc-level computational mathematics and computational science education. Proven track record in building high-performing classification models, improving efficiency significantly, and communicating insights through analytics and visualization.

Available to hire

Data science and machine learning research engineer with experience building and maintaining large-scale datasets, engineering features, and deploying predictive/deep learning models in production environments. Skilled in SQL/Python, time-series forecasting, defect image detection pipelines, and end-to-end experimentation (e.g., A/B testing).

Strong quantitative background with MSc-level computational mathematics and computational science education. Proven track record in building high-performing classification models, improving efficiency significantly, and communicating insights through analytics and visualization.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Intermediate

Intermediate

Beginner

Language

English

Fluent

German

Beginner

Work Experience

Research Engineer on Data Science & Machine Learning at Ansteel Beijing Research Institute Co., LTD.

August 1, 2020 - April 1, 2024

Architected and maintained large-scale datasets using advanced SQL and Python for efficient querying, cleaning, and transformation. Conducted feature engineering and visualization for high-quality modeling and actionable insights. Built predictive models with scikit-learn for multi-class defect classification achieving 90% accuracy. Developed an automated defect image detection pipeline using deep learning, boosting efficiency by 30% and securing patents. Designed an LSTM-based time-series forecasting framework for product content prediction, reducing costs by millions and optimizing process control. Deployed models into real-time production environments in collaboration with cross-functional teams.

Mesh Data Processing Intern at Shining 3D Technology Co., LTD.

July 1, 2019 - October 1, 2019

Developed and optimized a remeshing method in C++ for triangular mesh processing, generating high-quality 3D dental mesh data to support reliable visualization and analysis.