Data Analysis, Analytics, and Machine Learning is my heart and soul. This motivates me in helping transform the business by assessing organizational needs, being engaged, and looking for potential opportunities to create business insights.
I enjoy coding on different projects, reading about the economy, digging into company financials, watching the stock market, and messing around with my other 100 hobbies.
- Code: C++, C#, Python, R
- Database: MSSQL, PostgreSQL, Teradata, Spark/Hive
- Mock-ups, Reports, and Presentations: Excel, PowerPoint, Tableau
- Data Science Concepts: EDA, PCA, L/M/OLS Regression models
- DS/ML: Pandas, Seaborn, heatmap, numpy, statsmodels, Sklearn (confusion_matrix, PCA), Scree, VIF
- Tools: Jupyter Notebook, Spyder, and RStudio, MSSQL, pgAdmin, Spark/Hive, Visual Studio
- [Udemy Route Planning C++](https://github.com/btobin0/CppND-Route-Planning-Project.git)
- [Kaggle Launch Project](https://github.com/btobin0/Kaggle-SpaceX-Launch-Data-Analysis)
- [Case Study on Attrition](https://github.com/btobin0/CaseStudy2DDS)
- [SMU Project Beer Analysis](https://github.com/btobin0/Beer-Study.git)
- [Python Finance Examples] (https://github.com/btobin0/Python-Hedging-Trading.git)
- [SAS Examples] (https://github.com/btobin0/SAS-Examples.git)
- [C++ Examples] (https://github.com/btobin0/CPP-Examples.git)