Data Scientist Student
Wylie, Texas, United States
• Learned industry best practices and modern data science standards alongside a senior data scientist mentor. • Developed and presented projects involving exploratory data analysis, data cleaning, machine learning, statistical modeling, study design, statistics and probability. • Gained practical mastery of Python, Pandas, and PostgreSQL.Supervised Learning Project: Predicting Used Vehicle Listing Prices• https://github.com/ConnorRyanJ/used_cars_project • Employed linear and random forest regression techniques to compare models that predict the prices of used cars.• Implemented EDA, feature engineering, and regression modeling techniques.• Predicted accuracy at 92% using data cleaning, feature engineering, and hyper-parameter tuning.