Experience

Stackline

• United States
• Retail
• 200 - 300 Employee

• Director of Data Science

  • Sep 2021 - Present

  Seattle, Washington, United States  Led, mentored, and supervised a team of 12 Data Scientists, Analysts, and their managers. The org I led is structured into three divisions: Sales, Traffic, and Classification/NLP.  Worked with C-suite to establish project goals and roadmaps. This required continuous communication with stakeholders in engineering, product, and business teams to assess feasibility and prioritize projects.  Actively led the Data Science organization through the release of 2 new products. Further… Show more  Led, mentored, and supervised a team of 12 Data Scientists, Analysts, and their managers. The org I led is structured into three divisions: Sales, Traffic, and Classification/NLP.  Worked with C-suite to establish project goals and roadmaps. This required continuous communication with stakeholders in engineering, product, and business teams to assess feasibility and prioritize projects.  Actively led the Data Science organization through the release of 2 new products. Further, expanded our existing models to grow our outputs by 144% new retailers (domestic and international).  Mentored senior Data Scientists to build machine learning models that predict total web-traffic to 18 e-commerce websites, over 1.8B products, and each product’s breakdown of organic, paid, and external traffic.

• Sr Data Scientist

  • Jan 2021 - Sep 2021

  Seattle, Washington, United States  Built and deployed, from scratch, the data science pipeline that powers a new company product, Stackline Trends, that estimates weekly search volumes for over 2M terms across 29 US retailers (trends.stackline.com).  Developed and grew the Traffic team that is responsible for forecasting page visits, cost per click, click through rates, and conversion of 14 online retailers for over 250M products weekly.  Created a Data Science journal club to keep team members engaged and… Show more  Built and deployed, from scratch, the data science pipeline that powers a new company product, Stackline Trends, that estimates weekly search volumes for over 2M terms across 29 US retailers (trends.stackline.com).  Developed and grew the Traffic team that is responsible for forecasting page visits, cost per click, click through rates, and conversion of 14 online retailers for over 250M products weekly.  Created a Data Science journal club to keep team members engaged and knowledgeable of new techniques in machine learning and data science.

• Data Scientist II

  • Feb 2020 - Dec 2020

  Seattle, Washington, United States  Developed machine vision classifier to categorize web images into ~750 e-commerce relevant categories.  Built an NLP classifier to determine if web searches (>10M) are Branded or Unbranded. Branded search terms are further categorized into over 10k brands. Extended this process into a weekly run pipeline on AWS and Airflow.



Allen Institute for Brain Science

• United States
• Biotechnology
• 100 - 200 Employee

• Scientist II

  • Jul 2018 - Feb 2020

  Greater Seattle Area  Developed and released (brain-map.org/explore/models/mv1-all-layers) the largest ever data-driven models of the mouse visual cortex. This resulted in 3 experimentally testable predictions about the brain, one of which has already been confirmed.  Used data-driven models to predict and verify the existence of Direction Reversing Neurons.  Built simulations to test pre-clinical Alzheimer’s treatment. My analysis identified 2 interactions that explain treatment mechanism and informed… Show more  Developed and released (brain-map.org/explore/models/mv1-all-layers) the largest ever data-driven models of the mouse visual cortex. This resulted in 3 experimentally testable predictions about the brain, one of which has already been confirmed.  Used data-driven models to predict and verify the existence of Direction Reversing Neurons.  Built simulations to test pre-clinical Alzheimer’s treatment. My analysis identified 2 interactions that explain treatment mechanism and informed follow-up experiments.  Team leader for 20 scientists for project studying the mechanisms of change detection through experiments, data analysis, and modeling.  Conceived and created web products for 5 modeling projects (brain-map.org/explore/models).  Analyzed and published results from Institute datasets comprising 160K+ neurons recorded with 2 modalities.  Published 8 manuscripts and 20+ abstracts in international conferences.

• Scientist I

  • Aug 2016 - Jun 2018

  Greater Seattle Area  Led a team of 9 scientists that developed 4 large-scale network models of the visual cortex. Gained leadership visibility and presented findings to the scientific advisory council.  Successfully launched new program that created the first brain observatory for neuroscience. Wrote and submitted a grant (under review) for 5 years of funding, $1M annually, to expand program scope.  Led 5 workshops on modeling brain circuits and data analysis for academic scholars. I developed content… Show more  Led a team of 9 scientists that developed 4 large-scale network models of the visual cortex. Gained leadership visibility and presented findings to the scientific advisory council.  Successfully launched new program that created the first brain observatory for neuroscience. Wrote and submitted a grant (under review) for 5 years of funding, $1M annually, to expand program scope.  Led 5 workshops on modeling brain circuits and data analysis for academic scholars. I developed content, lectures, and projects.  Developed the Brain Modeling Toolkit: a Python-based package for building and simulating neuronal circuits.