• Initiated 10+ inventory reports automation and deployment; streamlined and automated data cleaning/wrangling by Python, GCP Cloud Run, and BigQuery. Resulted in an 80% decrease in data entry/manipulation time • Conducted resale analysis to understand the customers’ buying behavior by Python (Pandas/Matplotlib) for pricing strategy and customer targeting, enhancing the resale revenue by 60% in 3 months • Established 3+ dashboards for business KPIs by Google Looker Studio for inventory management while solving gaps between inventory and customer persona, saving 17% inventory cost with executed buying strategies

• Built forecasting models for customers’ future bank account balance with seasonal decomposition and SARIMA predictive model. Boosted creditworthiness assessment effectiveness and efficiency by 10% • Deployed custom predictive models to production with AWS SageMaker and ECR to assist business decisions; reduced underwriting team response time to within 3 days • Performed data manipulating automation of ETL by SQL with DBT and Airflow, saving 50% manual hours daily

● Assisted professor with 'Quality Management' curriculum and wrote reports 2 times monthly to maintain up-to-date student learning plans ● Provided regular feedback to students during 1 hr of office time weekly, resulting in 26% better academic performance

● Proposed an operator's reallocation plan for SMT operations in Printed Circuit Board Assembly ● Applied ECRS to analyze process flow to improve operational efficiency

• Collaborated and formulated problems with clients and teams in project planning, development, and execution • Shortened defects detecting process time by 50% and identified the types of defects on panels by building decision tree models and engineering image features with GLCM using Numpy and OpenCV