Data Scientist
Beijing, China
1. Utilize API calls or web scraping techniques to extract and consolidate data. Automate the daily dispatch of reports to leaders, ensuring they are informed of operational status every day.2. Engaged in data cleaning and processing including correcting data errors, handling missing values and outliers, etc., to ensure the high analysis metrics.3. Applied machine/deep learning algorithms and BI tools to uncover patterns in raw data, transforming operating data into accessible insights, and bolstering leadership decision-making. This led to revenue growth of 50%.4. Deployed ML/DL models to production, vigilantly monitoring and addressing Model Decay. Retrained and redeployed models twice during my tenure to ensure high prediction accuracy.5. Jointly tackled critical data warehouse tasks with team members like ETL, data cube, OLAP, Greenplum clustering, server migration, server crash, etc.