Andrew Sproul
Machine Learning Engineer at Flatiron School
New York, New York, United States
Summary
👤
Senior🎓
Top SchoolAndrew Sproul is a Machine Learning Engineer with eight years of experience blending data science rigor and practical engineering to deliver automated, efficient solutions. With a background in music and a Data Science Immersive from Flatiron School, he brings a creative, pattern-oriented approach to data acquisition, modeling, statistical analysis, NLP, and deep learning (Python, SQL, scikit-learn, Keras). He excels at turning complex datasets into production-ready models and workflows, favoring object-oriented design and SQLAlchemy for maintainable pipelines. A collaborative team leader, Andrew is known for coordinating cross-functional efforts and improving process efficiency while maintaining strong values and curiosity. He often draws on musical training to spot structure and symmetry in data, fueling novel feature engineering and model insights.
8 years of coding experience
Bachelor of Arts (B.A.), Music, Bachelor of Arts (B.A.), Music at Florida State UniversityData Science Immersive Program - February 2019, Data Science Immersive Program - February 2019 at Flatiron School
Github Skills (9)
stock-prediction7
stock5
stock-analysis5
sentiment-analysis4
tesla4
nlp3
python3
machine-learning3
natural-language-processing3
Programming languages (3)
Github contributions (5)
Contributions:230 pushes, 1 branch in 3 months
SproulHimself/calculating-distance-lab-data-science-intro-000
Jun 2018 - Oct 2018
Contributions:205 pushes, 1 branch in 4 months
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