Danielle Douglas

Data Scientist at Aperia Technologies
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Contact Information
us****@****om
(386) 825-5501
Location
Union City, California, United States, US

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Experience

    • United States
    • Mechanical Or Industrial Engineering
    • 1 - 100 Employee
    • Data Scientist
      • Feb 2020 - Present

      - Created Aperia's models for predicting hardware failure in semi trucks, sometimes identifying hardware problems months in advance. - Wrote and maintained dashboards that displayed aggregate customer data for sales pilots. - Researched Spark on Databricks and painted a path forward to upgrade pipelines for larger datasets. - Created Aperia's models for predicting hardware failure in semi trucks, sometimes identifying hardware problems months in advance. - Wrote and maintained dashboards that displayed aggregate customer data for sales pilots. - Researched Spark on Databricks and painted a path forward to upgrade pipelines for larger datasets.

    • United States
    • Wellness and Fitness Services
    • 1 - 100 Employee
    • Data Scientist
      • Feb 2018 - Feb 2019

      - Created CarePredict's models for prediciting medical issues in advance, including gesture recognition models from IMU sensor data. - Wrote and maintained Shiny dashboard that displays live 3D sensor data. - Predicted if someone was likely to fall down and break their hip up to four days in advance, and predicted if someone is falling into depression up to two weeks in advance. - Created CarePredict's models for prediciting medical issues in advance, including gesture recognition models from IMU sensor data. - Wrote and maintained Shiny dashboard that displays live 3D sensor data. - Predicted if someone was likely to fall down and break their hip up to four days in advance, and predicted if someone is falling into depression up to two weeks in advance.

    • United States
    • Technology, Information and Internet
    • 1 - 100 Employee
    • Data Scientist
      • Apr 2016 - Jun 2017

      - Presented new and effective feature engineering for the web classification project. Identified future pitfalls and Mechanical Turk data that needed to be cleaned to significantly improve accuracy.- On boarded and taught intern data mining and cleaning for data validation project.

    • Software Engineer
      • Feb 2016 - Apr 2016

      - Maintained Nom Proxy. Today, Nom Proxy is used by almost every ISP in the world. The world's http and tls traffic runs through Nom Proxy.- Wrote and maintained libraries used by Nom Proxy and Nom DNS.

    • Medical Equipment Manufacturing
    • 1 - 100 Employee
    • Research Engineer
      • Feb 2012 - Jun 2015

      - Responsible for all of Spectros' algorithms. Spectros was subsequently acquired due to its algorithms and software. - Developed a fitness tracker that identifies blood anomalies, heart rate, breath rate, and estimated calorie counting using local regression (Savitzky–Golay filter), SARIMA, peak detection (FFT), and deep neural networks. - Wrote and maintained Matlab dashboard that displays live sensor data. - Responsible for all of Spectros' algorithms. Spectros was subsequently acquired due to its algorithms and software. - Developed a fitness tracker that identifies blood anomalies, heart rate, breath rate, and estimated calorie counting using local regression (Savitzky–Golay filter), SARIMA, peak detection (FFT), and deep neural networks. - Wrote and maintained Matlab dashboard that displays live sensor data.

    • United States
    • IT Services and IT Consulting
    • 700 & Above Employee
    • Data Scientist
      • Jun 2010 - Feb 2012

      - Lead web classification project, which was crucial to Barracuda's Success. By 2012 the Web Filter product generated over 90% of Barracuda's income. - Classified every web page domain and subdomain using Tor and Memcached combined with NLP and other feature engineering, using logistic regression and k nearest neighbor models. Trained, tested, productionized, and maintained project. - Lead web classification project, which was crucial to Barracuda's Success. By 2012 the Web Filter product generated over 90% of Barracuda's income. - Classified every web page domain and subdomain using Tor and Memcached combined with NLP and other feature engineering, using logistic regression and k nearest neighbor models. Trained, tested, productionized, and maintained project.

    • United States
    • Services for Renewable Energy
    • 1 - 100 Employee
    • Software Engineering Consultant
      • Jan 2010 - Mar 2010

      - Designed diagnostics dashboard that evaluates incoming data and dynamically chooses the most appropriate display format. - Designed diagnostics dashboard that evaluates incoming data and dynamically chooses the most appropriate display format.

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