Data Science Immersive Student
New York, New York, Us
Skilled up in Python, Statistical Analysis, Machine Learning, and Deep Learning in this 15-week intensive training program. As part of the program I attended lectures, completed individual and group programming assignments, code challenges and projects to demonstrate a comprehensive understanding of both the theory and applications necessary to become a Data Science professional. • Studied a variety of data science tools in depth, including Python OOP, SQL NumPy, scikit-learn, Pandas, and NLTK• Worked both individually and in teams to develop and present a variety of data science projects including:Yelp Report CardsCreate quantitative evaluation for restaurants via Sentiment Analysis and Topic Modeling of Yelp ReviewsScraped 400k+ reviews from 1k restaurants separated by NYC boroughApplied Vader Sentiment Analysis to all reviewsTrained LDA topic modeling on all restaurants where service was mentioned at least onceApplied trained LDA model on all reviews to determine topic food/serviceCombined Positive/Negative Sentiment with Food/Service topic to create metric for restaurantsSolicited feedback from industry professionals, included snapshots of specific reviews for further analysisApp uploaded here: https://yelpreportcards.streamlit.app/Project WhiskyClassify national origin of a whiskey based on flavor, grain type, style using Machine LearningData from whiskeyanalysis.comRan 8 different machine learning classifiersChose SVM as best classifier with highest precision and recall score, lowest Type 2 errorsUsed Car Price Predictor Determine the price of a used car with Linear Regression using standard car metrics and featuresScraped data from Cars.com - 2677 used cars for salePerformed Linear Regression on 13 variables - 4 continuous, 9 categoricalUsing coefficients generated by model, accurately predicted price of unseen carsPrice Predictor app here: https://usedcarfrontpage-g5nurtxnfyk6k6f7wkkdja.streamlit.app/