Elena Eneva Email & Phone Number

California, United States

Stanford, California, Us

We pilot, build, and test solutions for compliance, mass adjudication, policy making, and government services

Chicago, Illinois, Us

We create and sustain communities, programs, and solutions that enhance the use of responsible data science and AI for equitable social good.

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. Students from universities across the US are hard at work using data science to explore and address pressing problems in public health, student wellbeing, equitable finance, environmental conservation, and more.

Dublin 2, Ie

Dublin 2, Ie

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.

Chicago, Illinois, Us

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.)

Sunnyvale, Ca, Us

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.

Sunnyvale, Ca, Us

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.

Pittsburgh, Pa, Us

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.

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.

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..

Pittsburgh, Pa, Us

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.

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.

Ms, Data Mining & Machine Learning

Ba, Computer Science

Education record