I possess the the desire to solve real world issues with the aid of machine learning, data science, and practical experience. My passion for data insight is evident in any project I undertake.
Available Work Locations: Remote
Inactive Top Secret
Core Technologies: Python, MySQL, Spark, Tableau, Pandas, NumPy, Matplotlib, Seaborn, SciKitLearn, Anaconda, Jupyter Notebooks, Git/GitHub
Core Competencies: Data Storytelling, Applied Statistics, Machine Learning, Natural Language Processing, Classification, Regression, Clustering, Time Series Analysis, Anomaly Detection
Hire Me Because
My Capstone Project: Stroke Prediction
This project involves the analysis of health data to identify the features that are indicative of stroke occurrence. With the exploration of key drivers of stroke, the dataset is being utilized for the development and evaluation of predictive models that perform better than a baseline classification prediction for stroke occurrence. The classification models being tested and evaluated on our data include Logistic Regression, Naive Bayes, Random Forest Classifier, K Nearest Classifier, and Decision Tree. The top models are being compared in performance with the use of a Receiver Operating Characteristic (ROC) curve to assess the diagnostic ability of a binary classifier system as its discrimination threshold is varied. The best performing model will then be identified as the top predictor given the engineered features in classification of key drivers of stroke occurrence.