These are just a few of the projects I have worked on in the past. I am always learning new things and when I do they will ultimately be showcased here.

June 4, 2020

Data Science Salary Estimator:

Project 1: Data Science Salary Estimator: Project Overview Created a tool that estimates data science salaries (MAE ~ $ 9K) to help data scientists negotiate their income when they get a job. Scraped over 1000 job descriptions from glassdoor using python and selenium Engineered features from the text of each job description to quantify the value companies put on python, excel, aws, and spark. Optimized Linear, Lasso, and Random Forest Regressors using GridsearchCV to reach the best model.

May 1, 2020

Movie Recommendation Engine

Project 2: Movie Recommendation Engine Imported a movie dataset csv file and used sklearn and machine learning algorithms to recommend movies based off your inputed favorite. Engineered features to use in the algorithm: “overview”, “keywords”, “cast”, “genres”, “director”. Combined the features into one string and used CountVectorize to convert the collection of text to token counts Used the Cosine Similarity to create a matrix showing the similar movies based off the features combined Created a function to be able to look through then index of movies to return a movie title that matches the similarity index.

February 24, 2019

NCAA Tournament- Which Mascot Wins More?

Project 3: NCAA: Which Mascot Wins More? Python/SQL For this project I asked the question of: “Does a college basketball team perform better when their mascot is Human or Non-Human in the NCAA basketball Tournament?” This report will take the results from every NCAA Tournamnet game since the 1985 season and compare whether teams with Non-Human or Human mascots win more. I first came across the data I needed on Kaggle.