Responsibilities:- Wrote complicated SQL queries, APIs, and Python scripts to filter data crawl raw data for credited online articles, and filter based on user preferences and setups, to provide updated, reliable information.- Built an internal operation application (web and mobile apps) for company agents (dashboard, forms, reports) using React Native Web App and React Native. Assisted with DevOps teams to build pipelines using Azure Pipeline. - Built an interactive website for new insurance products (interactive register forms for counter agents, reports, and configuration appliacations for managers). Built and maintained promotion management system and user coupon redeem application. Assisted DevOps teams to build pipelines using Atlassian Bamboo. - Managed the Xray Test Management for JIRA for visualization of testing progress and critical issues for the team. Built test plans/ reports for automation tests and manual tests. Performed automation testing using Selenium/Cucumber.Achievements: - Worked and delivered on seven projects using different technologies. - Developed strong client-facing/ handling skills and secured two additional projects after finishing the first product.

Responsibilities:+ Maintained and updated APIs using Ruby on Rails.+ Fixed and updated UI/UX for Saleshood Website follow the agile methodology.Achievements:

Responsibilities:+ Asserted and reported abnormal data generate from the factory. + Built ETL process to extract data from the factory, transform data into a curated form, calculated the performance and error rate of the product then load them into readable form like Excel, and Graph.Achievement: + Reduced 30% of the workload needed in the factory performance analysis by automated the process. + Worked with an international team and create a functional product within 2 months.

Responsibilities:- Conducted exploratory data analysis on environment data from sensors with Python, including visualization of air qualities, fan speed, and purifier speed.- Used predictive model to define optimal fan speed for air volume and air qualities based on sensors and calculated the error rate compared with industrial sensors to predict maintenance cycle for optimal performance and prolong product life span.Achievements:- Built a working prototype for home users.