Clement Xie

📈 Accomplished data scientist with a strong background in algorithm engineering and a passion for leveraging data-driven insights to solve complex business problems.

🏭 Experienced in transforming factories into intelligent operations, leading to the prestigious Lighthouse Certification awarded by the World Economic Forum. Collaborated with cross-functional teams to analyze production line data, apply feature engineering, and develop algorithms for automatic detection of abnormal events.

🤖 Skilled in improving efficiency through technology integration. Reduced gesture difference comparison time from 40s to 4s by leveraging mixed reality (MR) technologies and Docker for API deployment. Successfully reduced staff training time from 14 days to 5 days.

🔍 Proficient in statistical modeling, machine learning, and data analysis. Achieved 93% accuracy in hyperspectral remote sensing landcover classification, outperforming traditional convolutional networks. Published a research paper as the first author in a prestigious Chinese core journal.

💼 Project Experience: Designed and implemented session-based recommender systems, achieving 63% TOP 1 accuracy and 71% TOP 5 accuracy. Developed highly scalable pricing algorithms for health insurance expenses prediction, achieving 88% accuracy. Applied data cleaning, feature selection, and machine learning algorithms to detect insurance fraud, resulting in a best model accuracy of 75%.

🎓 MSc in Computer Science with Speech and Language Processing (Merit) from The University of Sheffield. BE in Computer Science and Technology from Beijing Normal University, Zhuhai.

💡 Skills: Machine Learning Frameworks (TensorFlow, Keras, PyTorch) | Machine Learning Algorithms (Decision Tree, Random Forest, Linear Regression, Logistic Regression, KNN, CNN, RNN, LSTM, Transformer) | Data Analysis Techniques (SQL, MySQL, Oracle, Power BI, Tableau) | Computing Systems (Windows, Linux, Docker, Google Cloud Platform, PySpark)

⚽ Interests: Soccer | Tennis | Basketball | Badminton | Fitness | Travel

Algorithm EngineerAlgorithm Engineer | Foxconn Technology Group | Algorithm engineer

• Transformed one of China's largest factories into an intelligent operation, resulting in the prestigious Lighthouse Certification awarded by the World Economic Forum.
• Collaborated with cross-functional teams to analyze production line data and assess the feasibility of implementing automation solutions.
• Utilized Python to collect, clean, and preprocess large volumes of production line data, ensuring data quality and reliability.
• Applied feature engineering techniques to enhance the accuracy and effectiveness of data analysis and algorithm development.
• Developed and implemented algorithms to automatically detect abnormal events in the production line, improving operational efficiency and reducing downtime.
• Improved the gesture difference comparison algorithm, significantly reducing the time required to capture differences in video data from 40s to 4s.
• Integrated mixed reality (MR) technologies for staff training, leveraging Docker to package APIs and streamline deployment processes.
• Maintained and updated algorithms based on user feedback, resulting in a reduction of staff training time from 14 days to 5 days.

Msc Computer Science with Speech and Language Processing, The University of Sheffield.

Be Computer Science and Technology, Beijing Normal University, Zhuhai, China