Yijia Ding

Yijia Ding is a professional with over four years of industry experience in machine learning and statistical inference, specializing in customer classification, pricing recommendation, risk segmentation, and LTV-based expense allocation. Yijia also has one year of software engineering experience focusing on backend API, building infrastructure, and ETL data pipelines on Hadoop cluster.

Yijia's technical skills include proficiency in Python (Numpy, Scikit-learn, Pandas), R, SQL, Linux, Java Spring Boot, TensorFlow, Keras, machine learning techniques like deep learning, regression, ensemble learning (Gradient Boosting, Random Forest), and NLP. Additionally, Yijia has expertise in Big Data/ETL tools such as Hadoop File System, PySpark, Hive, Impala, Apache Airflow, AWS (SageMaker, EC2), and Talend Studio.

Yijia's educational background consists of a Bachelor of Science in Actuarial Science from The Ohio State University with a GPA of 3.83, a Master of Professional Studies in Applied Statistics from Cornell University with a GPA of 3.99, and studies in English Language and Literature at Shandong University.

Professionally, Yijia Ding has held roles including Software Development Engineer at The Michaels Companies, Inc., Data Scientist at Root Inc., Product R&D Analyst at SafeAuto, and Student Programmer at Cornell University Survey Research Institute.