Souriya Khaosanga account profile
Personal details

Souriya Khaosanga
Lives in Portland, OR, United States
Highlights

IBM IBM Generative AI Engineering Professional Certificate

IBM IBM Data Science Professional Certificate

IBM IBM Data Science Professional Certificate
Highlights

IBM IBM Generative AI Engineering Professional Certificate

IBM IBM Data Science Professional Certificate

IBM IBM Data Science Professional Certificate
Work preferences
Desired roles
Architect
(Senior manager / Director)
Location preferences
Not open to remote work
Not willing to relocate
Additional info
Links & Resume
Full-Stack Engineer | DeFi Innovator | AI & Fintech Architect | Bridging TradFi & Blockchain
Experience
Projects

Applied Data Science Capstone
Built a machine learning model to predict SpaceX Falcon 9 landing success, enhancing mission planning and cost efficiency.
•5 weeks of study, approximately 45 hours in total (10-15 hours/week for the later modules)•Completed August 2024

Data Science Challenge
Utilized data preprocessing, RandomForest model training, and visualizations to predict customer churn. Efficiently managed large datasets and provided insights into key feature importances.
•8 hours•Completed July 2024

Data Science Coding Challenge: Loan Default Prediction
Used RandomizedSearchCV for hyperparameter tuning of a RandomForestClassifier to optimize AUC for a loan default prediction model. Significant improvement in model accuracy and reliability achieved.
•8 hours•Completed July 2024
Education
Credentials
Portland State University
Bachelor's degree in Computer Science, graduated August 2015
Oregon State University
Bachelor's degree in Engineering, graduated June 2006

IBM IBM Generative AI Engineering Professional Certificate
13 month program • Completed March 2025
Courses

University of Michigan · Course
Learning Experience Design: Orientation to the Profession
Completed March 2025

Indian School of Business · Course
Design your own trading strategy – Culminating Project
Completed March 2025

IBM · Course
Project: Generative AI Applications with RAG and LangChain
Completed March 2025