<ul><li>Led projects in various industries, including conversational AI, document analysis, retail, and credit risk assessment. Also experienced with applications in various domains, including medical data analysis, natural language processing, conversational models, and e-commerce.&nbsp;</li><li>Clients: MobiBiz, Canadian Heritage Information Network (CHIN), and more.</li></ul>

Data Science Specialist

Ontotext is a technology company specializes in semantic platforms that identify meaning across unstructured data.<ul><li>Worked as the lead data scientist of the R&amp;D department.</li><li>Developed machine learning models in Edlin, an in-house library for NLP written in Java; methods for domain adaptation; methods for automated feature selection; methods for optimization of F-measure. Models were linear or SVM, for classification and sequence classification.</li><li>Built a machine learning model for classification of tweets as either Rumor/Not Rumor. Model implemented in R, integrated in a Kafka pipeline supported by Ontotext.</li><li>Worked with DBpedia as an RDF database, such as for the food and drink project; very familiar with its structure, including pages, categories, subcategories, lists, topics, parallel languages, and respective coverage.</li><li>Experienced with automated and semi-automated integration of various RDF resources, such as DBpedia and Geonames.</li></ul>

Lead Data Scientist, Text Analysis

Worked on a data science project for the Canadian Heritage Information Network. Statistically estimated the proportion of malformed data, focusing on its most important features such as museum, objects category, type, name, and language. Also had to estimate what proportion of the errors are systematic and are addressable by automatic methods (NLP).

Canadian Heritage Information Network

Laura Halacheva

English (British)

Laura Halacheva is a data scientist with experience in data modeling, statistics, and machine learning, both theoretical and applied. She has wide experience with applications in various domains, including medical data analysis, natural language processing, conversational models, and e-commerce. At Ontotext, she led the data science of the R&D department. Her clients include MobiBiz, Canadian Heritage Information Network (CHIN), and more.

Laura Halacheva

Employment Highlights

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Canadian Heritage Information Network

Canadian Heritage Information Network