Senior Data Scientist
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Presentation: Floodgates of Autopilot Data Gathering
• Convert large datasets into actionable insights that drive business strategy at a global level (extraction, modeling, visualization)
• Build, design and launch in production scalable data products including recommendation engines, neural nets for NLP, audited financial models, etc.
• Collaboration with engineering teams and program managers to improve customer experience, demand capacity planning, financial visibility, etc.
Tools : R, Python (Tensorflow, Numpy, Scipy, Pandas, Scikit-Learn, Keras) | SQL, NoSQL (mongo) | Tableau, Shiny, plotly, d3.js | Git, Bash