Summary
Jack Stanley is a data scientist with nine years of professional experience who applies pragmatic Python and SQL expertise to build predictive models and data-driven APIs. Skilled with NumPy, Pandas, Scikit-learn and deep learning frameworks like TensorFlow/Keras, he translates messy data into actionable insights using regression, NLP and time-tested ML pipelines. He complements modeling abilities with production-facing tools—Flask and Plotly Dash—for delivering interactive dashboards and deployable services. A Lambda School data science graduate based in Macon, Georgia, Jack brings prior administrative and billing operations experience that grounds his analytical work in real-world business processes. His GitHub reflects a focus on practical data analysis projects rather than flashy open-source showcases, signaling an emphasis on applied results. Colleagues value his ability to bridge technical models and stakeholder needs to drive measurable outcomes.
9 years of coding experience
Data Science, Data Science at Lambda School