Preethi Seshadri

Data Scientist at UnifyID
  • Claim this Profile
Contact Information
Location
Palo Alto, California, United States, US

Topline Score

Topline score feature will be out soon.

Bio

Generated by
Topline AI

You need to have a working account to view this content.
You need to have a working account to view this content.

Experience

    • United States
    • Computer and Network Security
    • 1 - 100 Employee
    • Data Scientist
      • Dec 2018 - Present

      - Build core ML algorithms and models used in UnifyID’s production pipeline for real-time authentication - Create testing and reporting tools to gain visibility into product and component-level efficacy - Build core ML algorithms and models used in UnifyID’s production pipeline for real-time authentication - Create testing and reporting tools to gain visibility into product and component-level efficacy

    • United States
    • Higher Education
    • 700 & Above Employee
    • Data Science Researcher in Data+ Program
      • May 2018 - Aug 2018

      - Explored the medical decision-making process for patients faced with intermediate-stage prostate cancer diagnoses - Utilized topic modeling on clinical appointment transcripts and classification techniques to better understand how physician advice impacts choice - Explored the medical decision-making process for patients faced with intermediate-stage prostate cancer diagnoses - Utilized topic modeling on clinical appointment transcripts and classification techniques to better understand how physician advice impacts choice

    • United States
    • Software Development
    • 200 - 300 Employee
    • Senior Capstone Project in Collaboration with Harvey Mudd College and Microsoft Bing
      • Sep 2017 - May 2018

      - Leveraged statistical modeling and time series analysis to streamline and automate the process of identifying the root cause of anomalous incidents for the Bing Livesite team - Leveraged statistical modeling and time series analysis to streamline and automate the process of identifying the root cause of anomalous incidents for the Bing Livesite team

    • United States
    • Higher Education
    • 400 - 500 Employee
    • Wellness Peer at Department of Health and Wellness
      • Sep 2015 - Apr 2018

      Organize and lead a variety of educational and de-stressing events to promote student health and wellbeing.

    • App Developer
      • Jun 2016 - Sep 2016

      Worked on a team of four students to conceive, plan, and implement Bazaar, an iOS app that facilitates buying and selling on college campuses

    • Computer Science Education Researcher and Curriculum Developer
      • May 2015 - Dec 2015

      -Develop an interactive, hands-on, comprehensive CS curriculum for late middle school to early high school students -Co-taught professional development workshops for teachers in the Pomona Unified and Waimea School Districts and conducted user experience research -Accepted to ACM’s SIGCSE '16 Conference

    • Sweden
    • Education Administration Programs
    • Data Science Intern
      • May 2017 - Aug 2017

      - Performed in-depth analysis of Tribe’s Amazon Mturk worker (used for brand classification) performance - Developed and implemented an approach to block low-quality Mturk workers, which reduced wasted Mturk spending and improved data quality - Constructed a Brand NER tool to extract beauty brands from social media posts and identify new beauty brands - Performed in-depth analysis of Tribe’s Amazon Mturk worker (used for brand classification) performance - Developed and implemented an approach to block low-quality Mturk workers, which reduced wasted Mturk spending and improved data quality - Constructed a Brand NER tool to extract beauty brands from social media posts and identify new beauty brands

    • Data Analyst (WiFi Analytics)
      • Oct 2016 - Dec 2016

      - Partnered with the Claremont Colleges Library to analyze Wi-Fi connectivity data, specifically Wi-fi usage, signal quality, and connection duration patterns - Experience manipulating, cleaning, and analyzing large datasets in R and using data visualization approaches - Partnered with the Claremont Colleges Library to analyze Wi-Fi connectivity data, specifically Wi-fi usage, signal quality, and connection duration patterns - Experience manipulating, cleaning, and analyzing large datasets in R and using data visualization approaches

Education

  • Harvey Mudd College
    Bachelor of Science (B.S.), Data Science
    2014 - 2018

Community

You need to have a working account to view this content. Click here to join now