Welcome to my online GitHub repository. Below are some of my recent personal Data Science projects. Please reach out if you have any questions or comments, I look forward to hearing from you soon.
- Real-world assessment used by big-data company to test for engineering skill
- Completed in time limit of two hours
- Cleaned, merged and transformed data into useable format for machine learning
- Created linear regression model for predicting car prices
- Optimized model through feature selection, feature engineering, and hyperparameter tuning
- Tested model through holdout, cross and K-fold validation
- Created linear regression, decision tree and random forest models
- Optimized model through feature selection and model hyper parameter tuning
- Created machine-learning algorithm for predicting car prices
- Used K-Nearest Neighbors model from scikit-learn library
- Optimized model through feature selection and hyperparameter tuning
- Analyzed user survey to determine most profitable future revenue source
- Cleaned/visualized data using pandas/matplotlib libraries in Python
- Published by Towards Data Science
- Performed and executed data cleansing using pandas library in Python
- Used PDE and visualization to determine correlations for future study
- Featured on Analytics Vidhya
- Executed data cleansing using Python
- Used pandas and matplotlib to explore which cars hold the most value over time
- Created a resume from scratch using Python’s matplotlib library
- Published by Towards Data Science