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Artak Arakelyan
Artak Arakelyan
Apprenant.e.s
(1)
31
Lieu
Toronto, Ontario, Canada
Bio

Passionate mathematical specialist in Probability & Statistics at the University of Toronto (St. George), with a Computer Science minor. Skilled in Python, SQL, regression analysis, machine learning methods, and mathematical modelling. Experienced in applying data-driven solutions to real-world problems, with a strong foundation in probability, statistical inference, and optimization. Adept at data analysis, algorithm development, and predictive modelling. Seeking opportunities to leverage analytical skills and technical expertise in finance, AI, or data science roles.

Curriculum vitae
Resume.pdf
Portails
Catégories
Visualisation des données Analyse des données Apprentissage automatique Intelligence artificielle Data science

Compétences

Chunking 2 Data analysis 2 Data preprocessing 2 Development environment 2 Natural language processing (nlp) 2

Profils sociaux

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Dernières rétroactions

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Andi Kerenxhi
CEO
mars 31, 2025
Approbation individuelle
Data preprocessing Chunking Development environment Natural language processing (nlp) Data analysis

Highly recommend Artak to any employer. He is extremely bright, curious and hard working. What more can you ask for.

Rétroaction de l'apprenant.e.s
Artak is a very hard working, smart and curious intern. He is extremely open to learning and exploring solutions. I highly recommend Artak to any employer. You can't teach hard work or curiosity.
Data preprocessing Chunking Development environment Natural language processing (nlp) Data analysis
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Ubineer
Capturing Training Data using Natural Language Processing
Ubineer

Projets récents

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Ubineer
Ubineer
Toronto, Ontario, Canada

Capturing Training Data using Natural Language Processing

Ubineer is looking to add to our data set by integrating advanced Natural Language Processing (NLP) techniques. Currently we are seeking to build a massive data set that understands complex queries to capture data. The goal of this project is to expand/improve our data sets so that we can train a Large LLM. We are seeking student who want to understand how NLP works and have a passion in data analysis. The project will involve tasks such as data preprocessing, capturing, and storing. By the end of the project, the students would understand key NLP techniques such as chunking.

Jumelages 6
Catégorie Analyse des données + 4
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