- Use statistical analysis and logical reasoning to convert raw data into functional information that can be used by a variety of individuals or companies to further their business objectives.- To provide business and administration support to the key account manager, office managers, warehouse managers and the senior leadership team.

1. Offer comprehensive support to 11 remote students, addressing all inquiries related to the Computer Programming course, encompassing learning modules, practice quizzes, and project work. This role significantly alleviates the workload for the lecturer.2. Guide students towards achieving success in the course by providing actionable advice and suggestions. Assist them in developing effective study plans.3. Conduct weekly reviews of students' progress and maintain communication with them to ensure they are on the right track for success in the Computer Programming course.4. Lighten the lecturer's workload by assisting with tasks such as grading projects and organizing the question bank, etc.

1. Leveraged NIWA API to acquire comprehensive weather data, computing 88 distinct weather metrics for a dataset of over 100K historical wildfires in New Zealand. Expertly merged this data with Fire and Emergency New Zealand records to develop an extensive Fire Occurrence Database (FOD).2. Tableau-based dashboards were used to explore what are the meteorological conditions/key metrics when wildfires are most likely to occur in New Zealand.3. The regression model predicting burn area is used to analyze what are the meteorological conditions/key metrics when wildfires are most likely to become larger in New Zealand.4. Authored a comprehensive metadata document detailing weather metrics and compiled a technical report, enhancing the understanding and accessibility of complex data for broader team use.

1. Engineered an AI curriculum, blending Machine Learning, Deep Learning, Computer Vision, and six other courses. It was adopted by over 15 universities and received positive feedback from teachers and students.2. Forged partnerships to integrate AI projects into academic programs, enhancing student industry readiness by 60%. This innovation led to product adoption in over 30 universities.3. Collaborated with hardware manufacturers on AI projects that blend IoT and robotics, sparking heightened student interest. This multidisciplinary and interdisciplinary project became the flagship product of the team.4. Directed annual Teacher Training events, advancing educator skills and increasing product adoption by 20% in participating universities. This led to department revenue growth of about 20%.5. Spearheaded the formation and growth of the AI team, leading to a 30% increase in departmental productivity and enhanced support for other units.6. Conducted operational meetings with company executives to discuss the AI market environment and formulate annual research and development strategies.

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.

1. Expertly engineered responsive front-ends with AngularJS, and crafted robust back-end APIs using Java SSH, successfully delivering two large modules encompassing over 100 new functions.2. Collaborated effectively with software testers to identify and resolve bugs, achieving flawless module performance with zero end-user-reported issues, and garnering high praise from users.3. Efficiently resolved client issues as they posed at any time, employing excellent communication skills and extensive product expertise, significantly boosting customer satisfaction and trust.