Corbin Couger, M.S. Data Scientist
- Professional Certification in ML and AI
- Master of Science in Data Science
- Bachelor of Science in Statistics
- Check Out My Resume
Welcome to my Portfolio! I have many different showcases of my skills in various projects here! Click on any of these sections bellow to learn more about me:
🛠️ Technical Tools
Languages: Python, R, SQL
Tech Stack: Pandas, Numpy, Scikit-Learn, XGBoost, TensorFlow, Keras, PyTorch
Model Specialties: Anomaly Detection, Deep Learning Neural Networks, Classification Techniques, Regression Techniques, Cluster Analysis
Visualization: Seaborn, Matplotlib, ggplot, Tableau, Power BI, Streamlit
👋 About Me
I am a Data Scientist based in Chicago, Illinois, focused on developing machine learning models, uncovering business insights, and delivering data-driven solutions that support strategic decision-making.
I hold a B.S. in Statistics and Data Science from Butler University and an M.S. in Data Science from Bellevue University. In addition, I just completed a Professional Certificate in AI and Machine Learning through Purdue University and IBM to strengthen my expertise in modern AI techniques.
Through my academic and professional experience, I have developed expertise in statistics, machine learning, and database systems. I primarily work with Python and tools such as Scikit-learn, TensorFlow, and PyTorch to develop machine learning and neural network models.
My interests include predictive modeling, regression analysis, classification methods, tree-based methods, neural networks, anomaly detection, and AI-driven applications. I am particularly drawn to industries such as fintech, quantitative finance, technology, and e-commerce because of their fast-paced environments and constant opportunities for innovation.
Outside of work, I enjoy running, strength training, and golf. I’m open to discussing new opportunities, talking about data science, or simply connecting on LinkedIn.
🏢 Recent Experiences
Currently, I work as a Data Scientist, collaborating with Sales, Marketing, and Operations teams to deliver data-driven solutions. By developing a deep understanding of the organization’s data ecosystem, I build predictive models and analytical frameworks focused on sales forecasting, customer segmentation, marketing attribution, churn prediction, and campaign optimization. My responsibilities span the full data science lifecycle, including data preparation, exploratory analysis, model development, evaluation, reporting, and dashboard creation. Through these efforts, I help identify growth opportunities, improve business performance, and support strategic business decisions.
Previously, I worked as a Data Analyst in the healthcare industry, where I analyzed millions of healthcare claims records to support operational and strategic initiatives. Using SQL and Python, I cleaned and transformed complex datasets, conducted large-scale statistical analyses, developed predictive models, and delivered reporting solutions. This experience strengthened my ability to extract insights from high-volume data, communicate technical findings to cross-functional teams, and apply rigorous statistical methods to solve real-world business challenges.
As for my furture, I enjoy collaborative and intellectually challenging opportunities where I can continue leveraging my experience in machine learning, analytics, and data science. I enjoy working hands-on with data, building models, uncovering actionable insights, and solving complex business problems. I thrive in an environment that encourages continuous learning, cross-functional partnership, and the use of data to drive meaningful outcomes.
If you would like to learn more about my background and experience, please feel free to review my resume or connect with me on LinkedIn.
Contact Information
Feel free to reach out via email or connect on LinkedIn with any questions or comments!
📧 corbin.0007@yahoo.com
👤 Resume