I'm a Data Scientist with a passion for leveraging data to drive insights and solve complex problems. With a background in Chemical Engineering and experience in various industries, I bring a unique perspective to the world of data science.

• M.S. in Data Science (Expected March 2025) | University of Colorado Boulder | GPA: 3.95
• B.S. in Chemical Engineering (2015) | Iowa State University

• Computer Vision Applications in applied R&D Settings
• NLP and Unsupervised Clustering for Consumer Product Development
• Medical Research Data Analysis for publications

• Azure Cloud for Data Science

• Medical Research Projects for publications in respected journals

• Programming Languages & Frameworks: Python (PyTorch, TensorFlow, scikit-learn, pandas, NumPy), R, SQL, MATLAB
• Data Analysis & Visualization: Tableau, seaborn, matplotlib, Power BI, Data Cleaning, Excel
• Computer Vision: OpenCV, Pillow, scikit-image, YOLO, Detectron2, Torchvision
• Natural Language Processing (NLP): NLTK, spaCy, Hugging Face Transformers
• Data Labeling & Annotation: Labelbox, Amazon SageMaker Ground Truth
• Deployment & APIs: Django, Flask, Streamlit, Heroku, AWS Lambda
• User Interface: PyQt6 and Tkinter
• Web Scraping & Automation: Scrapy, Scrapy-Splash, Selenium
• Cloud & DevOps: AWS, Azure, Docker, Git
• Development Tools: Visual Studio Code, Command Line, Google Colab, Jupyter Notebooks

• Data Scientist (2022) | DataCamp
• Tableau Desktop Specialist (2022) | Tableau
• AWS Certified Cloud Practitioner (2022) | Amazon

• I'm always open to interesting discussions and collaborations. Reach out to me via GitHub, and let's talk!

Feel free to explore my projects (Or ask about my private projects), and don't hesitate to reach out if you have any questions or collaboration ideas!