Max Boonjindasup
Building AI Solutions | From Data to Decisions
ML Applications to Mental Health Diagnosis
Mental health challenges significantly impact millions globally with major depression affecting 1 in 3 women and 1 in 5 men. Despite its prevalence, mental health conditions often go untreated due to stigma and inadequate access to quality care. Here I've developed a model that identifies individuals at risk of coping difficulties.
Spotting Diabetes Early: A Model for Improved Outcomes
Empowering healthcare with data-driven insights for patient risk identification and personalized treatment. With this project, researchers can explore correlations between medical and demographic factors to predict diabetes likelihood, revolutionizing preventive care.
Job Market Analysis (2020 - 2024)
Fueled by economic uncertainty, businesses worldwide are facing difficult times, leading to significant layoffs. The tech sector alone has lost over 257,000 jobs, dwarfing pandemic-era losses. This summary examines the affected industries, geographic trends, and strategic considerations, offering a glimpse into the changing employment landscape.
Predicting Employee Retention: Building a Loyal Workforce
Salifort Motors aims to curb high employee turnover at their manufactoring company. I showcase here my discoveries of the key factors to employee attrition and built an XGBoost model for predicting future employee depature.
Identifying Individuals at Risk of Heart Disease
Cardiovascular diseases are the #1 cause of death globally, accounting for 17.9 million deaths every year. Here I explore 5 classification methods in identifying cardiovascular disease in patients.
NYC Airbnb Analysis
Exploring +50,000 Airbnb bookings in New York City and predicting price by geographic location.
Certificates
Google Advanced Data Analytics
IBM Data Science
Fundamentals of AI/ML in Precision Medicine (Stanford Medicine)
Data Science in Stratified Healthcare and Precision Medicine