Elena Eneva

Director at Sewanee DataLab
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(386) 825-5501

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Experience

    • United States
    • Education
    • 1 - 100 Employee
    • Director
      • May 2022 - Present

      Sewanee, Tennessee, United States DataLab is Sewanee's innovative data science for social good program. We train aspiring data scientists from diverse academic backgrounds to tackle problems that really matter. This summer, 20 DataLab students from 4 universities are hard at work using data science to explore and address 7 pressing problems in public health, student wellbeing, equitable finance, environmental conservation, and more.

    • Ireland
    • Business Consulting and Services
    • 700 & Above Employee
    • Sr. Principal Research Scientist - Artificial Intelligence
      • Sep 2018 - Present

      San Francisco Bay Area

    • Data Scientist - Senior Manager
      • Jul 2010 - Present

      San Jose, CA Data Scientist and Senior Manager at Accenture Analytics. Head of Big Data Analytics Solutions for Accenture & Intel Joint Initiative on Internet of Things (IoT). Previously, Head of Machine Learning Solutions for Accenture Healthcare Claims Initiative.

    • United States
    • Education Administration Programs
    • 400 - 500 Employee
    • Tutor
      • 2008 - Present

      Mountain View, CA Reading partners is a children's literacy nonprofit based in the SF Bay Area. I work one-on-one with children reading below their grade level at the Mariano Castro Elementary School in Mountain View. On average, students jump an entire grade level in reading skills after only 26 hours of Reading Partners tutoring, and advance 2.5 times faster than before they had intervention from Reading Partners.

    • Data Science Mentor
      • Jun 2013 - Aug 2013

      Chicago, IL DSSG is a summer fellowship program training future data scientists to work on the world’s most challenging social problems. Fellows work with the Obama campaign analytics team and other seasoned data scientists from academia and business on high-impact projects in education, healthcare, energy, transportation, and more. I lead two teams of fellows working on projects in healthcare and human rights. Read more about my fellows featured here:… Show more DSSG is a summer fellowship program training future data scientists to work on the world’s most challenging social problems. Fellows work with the Obama campaign analytics team and other seasoned data scientists from academia and business on high-impact projects in education, healthcare, energy, transportation, and more. I lead two teams of fellows working on projects in healthcare and human rights. Read more about my fellows featured here: http://dssg.io/2013/07/15/ushahidi-machine-learning-for-human-rights.html (The fellowship is organized in partnership with the Computation Institute at the University of Chicago and Argonne National Labs, and is funded by Eric and Wendy Schmidt.) Show less

    • Spain
    • Construction
    • Adventure World Traveler and Volunteer
      • May 2008 - Jun 2010
    • Information Technology and Services
    • 1 - 100 Employee
    • Fraud Detection
      • Oct 2005 - Apr 2008

      Sunnyvale, CA Enhanced the business-critical Click Through Protection system (a hybrid between cascading business rules, statistical filters, and data mining algorithms) which ran on millions of clicks every day to detect invalid or fraudulent clicks on online paid search listings. Data Wizards group award (2006).

    • Analyst/Machine Learning
      • Jan 2003 - Oct 2005

      Pasadena, CA Used data mining and machine learning methods to analyze massive amounts of internal data, find and model underlying patterns, and predict activities and events of interest, including attrition prediction, client future value prediction, partner traffic quality scoring, traffic spike detection, etc.

    • United States
    • Higher Education
    • 700 & Above Employee
    • Research and Teaching assistant
      • Aug 2000 - Sep 2002

      Pittsburgh, PA Teaching Assistant, Multimedia Databases and Data Mining. Research Assistant for machine learning and data mining projects, including: • Data Mining of Retail Consumer Data -- Created new algorithms for modeling preferences of consumers in supermarket chains. Developed a fusion of parametric and non-parametric methods to predict local and global price elasticities and profit optimization. Work with Rich Caruana (School of Computer Science) and Alan Montgomery (Business… Show more Teaching Assistant, Multimedia Databases and Data Mining. Research Assistant for machine learning and data mining projects, including: • Data Mining of Retail Consumer Data -- Created new algorithms for modeling preferences of consumers in supermarket chains. Developed a fusion of parametric and non-parametric methods to predict local and global price elasticities and profit optimization. Work with Rich Caruana (School of Computer Science) and Alan Montgomery (Business School). • Fractal Dimension and Dimensionality Reduction Techniques -- Investigated the relationship between the intrinsic dimensionality of data (estimated by the fractal dimension) in a reduced space, and several dimensionality reduction methods. This research makes several data mining algorithms scale to large data sets. Work with Christos Faloutsos. • New data mining tools for n-to-m relationship data -- Developed new tools for analyzing and generating n-to-m relationship data (customer data, web hits, disk-access patterns) based on statistical and information theoretic features. Work with Christos Faloutsos. Show less

    • Intern
      • May 2001 - Aug 2001

      Northbrook, IL Developed a Machine Learning system for master data management which aids domain experts in managing taxonomies by learning relationships between two taxonomies, and automatically mapping data from one into the other.

    • IT Services and IT Consulting
    • 1 - 100 Employee
    • Intern
      • May 2000 - Jul 2000

      San Mateo, CA Developed a solution for integrating WebMethods services into Leap!, Saltare’s Java-based software. Leap! enhances production marketplaces by managing and intelligently responding to supply-chain events in real time..

    • Intern
      • May 1999 - Jul 1999

      Pittsburgh, PA Automatic Document Summarization -- developed algorithms for generating temporal summaries as a form of document summarization using natural language processing and machine learning techniques. The research was funded by the Jack L. Stephenson Grant, awarded annually to one student demonstrating dedication and research in a career field of choice. Work with John Lafferty.

    • United States
    • Research Services
    • 1 - 100 Employee
    • Intern
      • May 1998 - Jul 1998

      Berkeley, CA Neural Theory of Languages Project -- worked with neural network models of action verbs in human languages as a part of the Neural Theory of Languages project.

Education

  • Carnegie Mellon University
    MS, Data Mining & Machine Learning
    2000 - 2002
  • Sewanee-The University of the South
    BA, Computer Science
    1996 - 2000
  • First English Language School
    1992 - 1996

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