Bannasorn Paspanthong Email & Phone Number

United States

Riverwoods, Illinois, United States

• Position Name: Modeler
• Monitored and analyzed a long-term underwriting machine learning model’s output with PSI score and various modeling metrics; identified and addressed root causes of model instabilities
• Spearheaded the implementation of an explainable AI pipeline, increasing processing speed and ensuring mathematical correctness by extracting exact Owen and SHAP values from CatBoost models to meet credit card business.
• Enhanced AI decision-making transparency in credit card application process, impacting over 2 million applications annually
• Conducted an in-depth quality check of the model monitoring pipeline from Snowflake data warehouse to Tableau Dashboard, utilized by 50% of production models

Plano, Texas, United States

• Enhanced a risk-assessment model for all past-due loans in auto finance sector by incorporating call transcript data, leading to a statistically significant improvement in the production-level model
• Leveraged NLP techniques to process data, employing a spectrum of models from classical machine learning with TF-IDF, Doc2Vec, and Bert to deep learning sequential models, to evaluate loan risk effectively
• Formulated strategies for on-demand risk detection through pattern matching for business stakeholders

Chicago, Illinois, United States

• Devised complex recommender systems in the B2B beverage sector, utilizing SVD, popular, and random algorithms, achieving 80% precision while maintaining high coverage and a variety of product recommendations
• Conducted clustering and RFM analysis for innovative customer segmentations and their corresponding business strategies
• Delivered a high-impact presentation to C-suite and tech teams, outlining estimated business impacts and deployment roadmap

Bangkok, Thailand

• Developed a machine learning model (XGBoost, AUC 0.83) to predict which 20 million Shopee users are likely to convert to ShopeeFood resulting in an increased conversion rate by 80% and reduced acquiring costs for.
• Improved ShopeeFood buyer segmentation model by introducing new stages of customers' life cycle (with drastically different churn rates), allowing the marketing team to have clear targets for improving retention rates
• Performed A/B testing on discount vouchers and implemented new vouchers in the highly competitive food delivery market

Evanston, Illinois, United States

• Optimized customer-hub pairings (mixed-integer linear model) that reduce annual cost by $150,000 and CO2 by 46 tons for UPS
• Extracted the travel time feature from Google Maps API via Python as a main input for the optimization model

• Leveraged machine learning algorithms to understand the real-world data in soccer
• Predicted the best strategy for taking a penalty kick and created an expected goals model (AUC 0.75) to determine great strikers
• Wrote columns to communicate the findings to a wide range of audiences (from soccer enthusiasts to data scientists)

• Lead the organization in planning events for 150 participants to promote Thai culture at Northwestern University
• Collaborated with other universities to create events that promote an inclusive environment for Thai students in the US
• Developed relationships with recruiters to from Thailand to provide job and internship opportunities for organization members

• Developed a data model and a Python library that increased data scientists’ efficiency in performing time-series data analysis for one of Thailand’s largest banks, decreasing the average time used to perform analysis.
• Implemented Python3 library in OOP standard and performed version control in a team-oriented environment using GitHub
• Created pitch decks and presented to potential users, including KBTG data scientists, business analysts, and statistics professors

• Launched a startup using college tutors to provide high schools students with quality education and advice on college experience
• Managed tutor operations, including the application process, training, and distribution of tutors’ availability
• Conducted market research on students and tutors to identify the optimal price and amount of AP subjects to be offered

• Initiated the market entry project regarding on-demand services via app, expanding into non-metropolis regions
• Interviewed competitors’ drivers and partner restaurants to understand their operations and business models outside Bangkok
• Defined metrics and analyzed data; identified 15 potential provinces to expand to in phase 1

Master Of Science - Ms, Machine Learning And Data Science, 4.00/4.00

Relevant Coursework: Predictive Analytics Data Mining Database Data Visualization Big Data Deep Learning Data Warehouse Text Analytics

Bachelor Of Science - Bs, Industrial Engineering, 3.98/4.00 (Summa Cum Laude)

Activities and Societies: Northwestern Thai Students Association, Engineering Sustainable World, Design Innovation for Social.

High School Diploma, Mathematics And Science