• Updated Databricks Workflows in Scala to aggregate data for 50,000+ business organizations

• Handled a high-traffic production system migration of Workflows that impacted 2.5M+ users

• Led discussions with manager, tech lead, and PM to determine launch plan

• Conducted rigorous testing and data profiling and executed dark testing before deployment

• Successfully launched the analytics dashboard page with new data to production using Spring Boot, Java, and TypeScript

• Contributed to the team's success by volunteering in doc bash, bug bash, and composing wiki pages for new Workflows

• Engineered an auto machine learning tool on Spark in Python with detailed documents adopted by 3

financial group subsidiaries and contributed to 5 analysis projects.

• Improved efficiency of auto machine learning tool by 15% since joined product by debugging,

optimizing ML pipeline, and applying several data preprocessing methods.

• Orchestrated a development team of 3 with members of PM and QA using Agile SDLC in Jira.

• Cultivated a culture of sharing in-group and cross-group, including organizing 2 study groups,

hosting 2 workshops, and writing several technical articles in company’s newsletters.

• Collaborated with a team of 3 to develop a website for 10+ enterprise customers, including querying data from MongoDB, processing data with PHP, Python, and arranging visualized data on the website utilizing HTML and JavaScript.

• Organized a data workflow to improve overall accuracy in tagging prediction by 10% by web crawling, and data cleaning to ML model training.