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Achievement: Pull Shark

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Achievement: Pull Shark

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es65/README.md

Data scientist with proven impact in biotech and fitness-based app development. Formal training in applied and genomic data science (MIT, Johns Hopkins). Passionate about using my expertise to drive strategic business decisions, revenue, and engaging user experiences.

Skills

  • Data Science & ML: Supervised learning (classification, regression), deep learning (neural networks), unsupervised learning (PCA, t-SNE, HMM, clustering), time series analysis, feature engineering, cross-validation, hyperparameter tuning, ETL and data pipeline automation
  • Languages: Python, PostgreSQL, Swift, Bioconductor (R), Bash, C++ (basic)
  • Tools: Pandas, NumPy, Scikit-learn, TensorFlow, Matplotlib, Plotly/Dash, FastAPI
  • Cloud & DevOps: AWS (Lightsail, EC2, RDS, S3), Git, GitHub Actions, Docker
  • Other: Experimental design, ODE and statistical modeling, process automation, scientific communication

Pinned Loading

  1. MtbViz MtbViz Public

    Cool metrics and a visualization tool for mountain bikers. Works with a smartphone and the Sensor Logger app to collect and process IMU and location data.

    Python

  2. ADSP ADSP Public

    MIT Applied Data Science Program Capstone: Facial Emotion Recognition with Neural Nets

    HTML

  3. fitness-tracker fitness-tracker Public

    Machine Learning Fitness Tracker App, based on Dave Ebbelaar: https://www.youtube.com/playlist?list=PL-Y17yukoyy0sT2hoSQxn1TdV0J7-MX4K

    Python

  4. ISLP ISLP Public

    Labs and other work from Introduction to Statistical Learning with Python

    Jupyter Notebook