Data Scientist Fellow
Springboard Data Science Career Track - StudentDescription: 550+ hours of hands-on course material, with 1:1 industry expert mentor oversight, and completion of 2 in-depth capstone projects. Mastered skills in Python, SQL, data analysis, data visualization, hypothesis testing, and machine learning.Capstone Project 1: Predict Forest Cover Type • Use cartographic variables to classify 7 non-urban forest cover types, located in Roosevelt National Forest of northern Colorado; explore the potential environmental factors correlated to the predominant cover type on a site by data visualization; leverage supervised machine learning to achieve 91% macro avg f1-score and 93% accuracy. • Tools: Scikit-Learn, Pandas, NumPy, Seaborn, Matplotlib, Pipeline, ImblearnCapstone Project 2: Diabetic Retinopathy Detection • Detect Diabetic Retinopathy to Stop Blindness: Accelerated the detection of diabetic retinopathy and provide the disease severity for patients to stop blindness; recognized and enhanced low-quality images so that the model can effectively extract useful information; Fine-tuned a pre-trained ResNet model to achieve Cohen’s kappa score of 0.921. • Tools: TensorFlow, Keras, CV2, NumPy, ImageDataGenerator, Seaborn, Matplotlib
