Sam Fisher

About Sam Fisher

I specialize in the oversight of credit decision-making processes and risk models, with a…

Experience

1. Data Scientist

   Stratyfy

   May 2021 — Present

   Explainability and Fairness in Credit Underwriting\\\\n-\\\\n* I participated in designing a product to assess and mitigate discrimination in lending. I researched fair lending laws, the current art in their enforcement, and the key areas of ambiguity in fair lending regulation.\\\\n* I developed:\\\\n(a) interpretable measurements to proactively monitor for discriminatory practices.\\\\n(b) attribution of disparities to driving factors in a model.\\\\n(c) automated suggestions of what an applicant can do to be approved in the future.\\\\n* I lead our data science team\'s participation in a Stanford+FinRegLab research study:\\\\nhttps://finreglab.org/ai-machine-learning/explainability-and-fairness-of-machine-learning-in-credit-underwriting/\\\\n\\\\nSales Optimization\\\\n-\\\\n* I helped our client maximize the profitability of their sales team\'s time. We did this by automatically deciding which sales people each inbound lead should be allowed to book an appointment with.\\\\n* We used machine learning to maximize the expected revenue gain from our booking decisions whilst using control theory to ensure none of the salespeople have too few or too many appointments. We validated the logic with backtesting for profitability, appointment calendar stability, and prediction error. We also designed production a/b testing to monitor actual revenue gain and iteratively make improvements to the system.\\\\n* We used python, scikit-learn pipelines, pandas, numpy, scipy, and our in-house Probabilistic Rules Engine. I built a custom controller in numpy to stabilize the supply of each sales person\'s time in response to demand in a manner similar to dynamic pricing.\\\\n \\\\n\\\\n \\\\n \\\\n\\\\n \\\\n

Education

• Oberlin College

  Bachelor of Music, Technology in Music and Related Arts

  2010 — 2014

• MITx Courses

  MicroMasters, Statistics and Data Science

  2020 — 2023

• Springboard

  Data Science Career Track

  2018 — 2018

• Harvard Extension School

  Post Baccelaureate Coursework, Math & Computer Science

  2018 — 2020

• Harvard Extension School

  Master of Liberal Arts, Data Science

  2023 — 2026

Skills

• Sound Design
• Film
• Sound Recording
• Music Composition
• Sound
• Performing Arts
• Media Scoring
• Recording
• Music for Theater
• Music for Dance
• Sound Synthesis
• Remixing
• Composition
• Singing
• Mixing
• Audio Recording
• Electronic Pop Music
• Maxmsp-Based Software Design
• Songwriting