KARL WONG

• Led team of junior data scientists to enhance operational efficiency of call center, resulting in more than 20% improvement
• Fostered learning environment, enhancing team's data science skills and knowledge
• Contributed to improving efficiency of call center through data-driven strategies and solutions.

Executed extensive data cleansing, feature engineering, exploratory data analysis, AB testing, and error analytics

• Evaluated product success through goal setting, forecasting, and monitoring of key product metrics
• Identified, understood, and tested opportunities to enhance product, driving roadmaps through insights and recommendations
• Collaborated with Product, Engineering, and cross-functional teams to inform, influence, support, and execute product strategy and decisions
• Demonstrated strong communication skills, enabling effective data-driven storytelling and convincing and influencing users using clear insights and recommendations.

Key Projects & Accomplishments:
Customer Demand Forecasting Project
• Developed and researched machine learning models to accurately forecast
customer demand for shipping services, refining the booking process and
enabling the engine to prioritize high-yield customers.
• Improved overall accuracy by 10% compared to previous methods.

Vessel Departure Time Prediction Project
• Developed machine learning models to predict vessel departure times,
enhancing customer satisfaction and aiding vessel advisors in minimizing
bunker costs.
• Improved computation time using Numpy vectorization and decreased
memory usage with Dask, resulting in a tenfold reduction in processing time
for the complete set.

Empty Container Forecasting Project
• Developed machine learning models to estimate the number of empty
containers needed for the engine to optimize the repositioning of empty
containers.
• Designed an automatic retrain pipeline for the model, leading to significant
improvements in the efficiency of the training process

• Produced reports and conducted data analysis to discern trends, patterns, and insights that guided business decisions
• Undertook troubleshooting and research activities to rectify data discrepancies and ensure data accuracy
• Worked in collaboration with cross-functional teams to devise and implement data-driven solutions
• Leveraged Excel, SQL, and other data analysis tools to manipulate and analyze extensive datasets.

Key Project & Accomplishments:
Document Classification using NLP
• Developed a natural language processing (NLP) model to categorize
documents based on their content.
• Utilized optical character recognition (OCR) tools to extract text from
documents. This enhancement in document classification saved one week’s worth of manpower with higher accuracy.