Connor Sanderford

bioengineering and math student @ SBHSE, SoMSS, ASU

ML for spatial transcriptomics and magnetic resonance spectroscopy @ BioProtean Labs

python for inverse problems with Mirjeta Pasha

💡 Currently interested in:

• Matrix factorization and factorization machines, especially in the context of domains outside recommender systems.
• Strategies for high-dimensional, sparse data.
• L₁-norm optimization and regularization.
• Functional programming for ML.

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🛠️ Languages, libraries and tools:

• Python
  • Pandas
  • numPy
  • scikit-learn
  • spaCy and NLTK
  • LIME
  • Flask
  • Streamlit
  • Matplotlib, Seaborn, Plotly, Altair
  • PyTorch
• SQL
  • SQLite
  • Microsoft SQL Server
  • PostgreSQL and psycopg2
  • SQLAlchemy
• AWS
  • AWS Elastic Beanstalk
  • AWS RDS
  • AWS Sagemaker
• Docker
• MATLAB
• F#

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📚 Blogposts:

• DBSCAN from Scratch - an implementation of a popular clustering method.
• Animal Spirits - sentiment analysis of tweets about bitcoin.

🔗 Deployed projects:

• YelpSense - sentiment analysis of Yelp's Academic Dataset using fine-tuned BERT models.
• Animal Spirits - a sentiment model deployed on Heroku, serving current and historical sentiment information about bitcoin tweets.

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🤙 Contact me:

• here
• twitter
• linkedin