∙ Migrated and maintained dashboard data from gCORE (Redshift data warehouse) to PDIL using SQL, ensuring data integrity and developed custom data marts in Snowflake, optimizing data retrieval and user workflows.∙ Engineered advanced visualizations in Spotfire using custom JavaScript Mods, which allows clinical scientists to interpret complex data in multiple dimensions.∙ Mapped and integrated data fields for clinical insights, collaborating with scientists and conducting testing and refinement of JavaScript-based visualizations to enhance analysis.

∙ Successfully adapted the REFIT codebase for seamless compatibility with KubeEdge, deploying RoE across diverse edge devices and demonstrating its capabilities in various use cases involving sequential data.∙ Built a versatile data streaming pipeline, utilizing machine learning and deep learning techniques to enable real-time predictions and showcase RoE's adaptability and performance.

Department: Smart Manufacturing & Artificial Intelligence∙ Provided material suppliers with insights on the shift in parameters, which improves man-hours loss due to tool recovery (62 man-hours monthly) and utilization loss due to tool down (0.4% monthly).∙ Designed, developed and deployed data pipelines from data extraction, data analytics to data ingestion, as well as UI and API support.∙ Led a cross-functional team of data engineers, data scientists, and machine learning engineers to migrate the entire application from Hadoop to Google Cloud Platform, which resulted in 50% reduction in running time.∙ Adhoc support on urgent failure cases: business trip to Japan to engage with the local domain experts to investigate root causes and eventually developed the core predictive analytics to predict failure events in advance.

Responsible for hosting discussion sections and office hours to discuss materials being presented in lecture

Responsible for grading exams and discussing homework solutions with professors in a class with over 400 students

∙ Conducted comprehensive research to identify and implement optimal solutions for the efficient reallocation of donations in post-disaster scenarios.∙ Utilized web scraping techniques on platforms such as GoFundme to analyze financial donation patterns in the aftermath of disasters, gaining valuable insights into donation trends.∙ Engineered a purpose-built platform connecting disaster victims with locally available donations, featuring a website with real-time updates, an interactive map of affected areas, and chat rooms for communication between survivors and donors.

Responsible for cooperating with writers and editors to take photos, discuss potential topics, and write food reviews for restaurants.