bigfoot_sightings_case_study_public

Using data from JSON files, we use NLP (Natural Language Processing) to separate text description into different topics to determine most common factors that contribute to bigfoot sightings.

colorado-hispanic-covid-19-susceptibility

COVID-19 has been disproportionally affecting the hispanic community in Colorado. I have explored trends in environmental factors, education, and food access in regions of the state with high hispanic populations. This project is in collaboration with Halvatzis Consulting and the Colorado Hispanic Chamber of Commerce.

covid-19-forecasting

Forecasting the Future of COVID-19 with Social Distancing - what level of social distancing should be maintained so that we see a consistent drop in the number of new cases of the virus? What are the most effective means of social distancing?

folium

Python Data. Leaflet.js Maps.

fraud-detection_case_study

Using transaction data, we created a model to predict whether or not a transaction is fraudulent or not.

git-primer-checkpoint

interview-attendance-case-study

Using data sourced from Kaggle on interviews in India, we predict interview attendance based on factors such as gender, whether a 3 hour reminder call was issued, etc.

jbudnick

mock_interview_app

I created a web app to help job seekers prepare for interviews by pulling random questions from an interview question dataset.

rideshare_case_study

We used data on a rideshare company and implement several machine learning models to determine which factors contribute to whether a ride-share customer will churn or not, and offer recommendations to improve service in the future.

simple_web_app

spark-case-study-public

world_population_analysis

world_renewable_electricity

Are the majority of developed countries transitioning to cleaner energy? In this project, I investigate whether there is a statistically significant increase in the proportion of electricity generated by renewable resources from 1980 to 2017.