Data Scientist and Data Analyst with experience in data acquisition, data modeling, statistical analysis, machine learning, deep learning and NLP. Avid analyst, inquisitor and a lifelong student. I have four years of professional experience, and a love for problem focused research and investigation. I thrive tackling uncomfortable challenges and situations, and seek them out actively. Notable projects include:++ Chicago Car Crash Analysis ++Using car crash data to predict if an accident was caused by a driverSkills and Technologies* Python Scripting for efficient data preprocessing * Feature Engineering for target creation* Iterative Modeling and evaluation, testing the performance of several models including Linear Regression, Random Forest and XGboost... ++ Tesla Perception Audit ++Capturing public discourse surrounding Tesla Inc. with the intention of learning what topics surrounding the company are being discussed the most, and how those discussing the company feel about these topics. Skills and Technologies* Natural Language Processing* Latent Dirichlet Allocation * GSDMM* VADER Sentiment Analysis ...++ Movie Recommendation System ++Utilizing Surprise Python library to create input pipelines for a movie recommendation system. Recommendations use explicit and implicit user ratings to train models. Pipelines take either a movie title input or randomly chosen movies rated by the user. Skills and Technologies* Using the Surprise Python library to train and evaluate recommendation model performance * Wrote python script, allowing user to rate several movies within the data and retrain model, recommending titles based on their ratings * Wrote script for a user to be able to enter a string movie title, train a KNN model and output most similar movies based on user rating data...