Junyu Jiang Email and Phone Number

• Performed advanced data analytics on identifying key factors that caused homeowners to default on their loan payments• Achieved F1 score of 85% in predicting whether someone will default a loan with logistic regression and random forest models• Conducted data preprocessing to ensure the high-quality data for the foundation of the model using Python• Improved in model performance of 10% by creating features with researched domain knowledge • Weekly meetings with stakeholders to track project progress and constantly improve the quality of deliverables

• Provided valuable business insights by conducting timely order and inventory management • Cut down more than 20% cost in purchasing components via performing time series analysis to estimate the best time period for the company to purchase each component for CNC machine• Built an inventory forecasting plan via developing ARIMA model in Python to predict the price of each component • Created a Power BI dashboard to monitor the inventory level, improved reporting efficiency by 80%• Presented findings with actionable insights and recommendations to management team with decision making data

• Led data analytics and provided data driven recommendations on microwave non-thermal effect on different chemicalreactions• Ensure the high level of data quality and accuracy via building a data processing pipeline in Python• Improved testing’s efficiency and accuracy by 50% via developing a variety of ML models (LR, decision tree, random forest) tooptimize reaction time of a certain reaction• Improved model performance by 20% in Python by autotuning key hyperparameters• Tracked project progress, actively communicate with team members, and constantly improve the quality of deliverables