I am a dedicated AI engineer and data scientist with extensive experience in machine learning, natural language processing, and big data analytics. Throughout my career, I have worked on diverse projects ranging from forecasting with deep learning to consumer sentiment analysis and replicating financial portfolio behaviors. I enjoy implementing complex statistical models and algorithms from scratch, utilizing my strong programming skills in Python and other languages. My academic background includes advanced masters studies and research in AI and data science at prestigious institutions such as KU Leuven and UCL. I am passionate about optimization, Bayesian statistics, forecasting, and the integration of generative AI models in big data contexts. I take pride in delivering robust, innovative solutions in both research and industry roles.

Tymur Gabuniya

I am a dedicated AI engineer and data scientist with extensive experience in machine learning, natural language processing, and big data analytics. Throughout my career, I have worked on diverse projects ranging from forecasting with deep learning to consumer sentiment analysis and replicating financial portfolio behaviors. I enjoy implementing complex statistical models and algorithms from scratch, utilizing my strong programming skills in Python and other languages. My academic background includes advanced masters studies and research in AI and data science at prestigious institutions such as KU Leuven and UCL. I am passionate about optimization, Bayesian statistics, forecasting, and the integration of generative AI models in big data contexts. I take pride in delivering robust, innovative solutions in both research and industry roles.

Available to hire

I am a dedicated AI engineer and data scientist with extensive experience in machine learning, natural language processing, and big data analytics. Throughout my career, I have worked on diverse projects ranging from forecasting with deep learning to consumer sentiment analysis and replicating financial portfolio behaviors. I enjoy implementing complex statistical models and algorithms from scratch, utilizing my strong programming skills in Python and other languages.

My academic background includes advanced masters studies and research in AI and data science at prestigious institutions such as KU Leuven and UCL. I am passionate about optimization, Bayesian statistics, forecasting, and the integration of generative AI models in big data contexts. I take pride in delivering robust, innovative solutions in both research and industry roles.

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Experience Level

Expert
Expert
Expert
Expert
Expert
Intermediate
Intermediate
Intermediate

Work Experience

ML Engineer and Data Scientist (Contractor) at Inseanq
May 31, 2025 - August 27, 2025
Worked on forecasting using deep learning, consumer sentiment analysis, and retrieval-augmented generation (RAG) large language model (LLM) implementation. Focused on applying advanced ML techniques and sentiment analytics to support business insights and decision making.
Consultant
July 1, 2009 - Present
Provided episodic consultancy in statistics, machine learning, NLP, and programming from 2009 onwards. Projects included latent Dirichlet topic analysis of central bank reports, designing boosted methodologies for replicating Chinese ETF returns, NLP analysis of climate change news and government announcements with extensive coding and data scraping.
Research Assistant
February 28, 2018 - August 27, 2025
Engaged episodically from October 2004 to February 2018 in statistics, machine learning, NLP, and programming projects, including simulation analysis of performance of the Gaussian Mixture Model with weak identification for London Business School and latent factor modeling for Wharton.
Research Associate at INSEAD
October 31, 2014 - August 27, 2025
Implemented a large scale constrained maximum likelihood estimation using the EM algorithm, involving extensive coding and CPU computing over two periods: October 2013 to October 2014 and January 2016 to April 2016.
Research Associate at INSEAD
April 30, 2016 - August 27, 2025
Implemented a large scale constrained maximum likelihood estimation using the EM algorithm, involving extensive coding and CPU computing over two periods: October 2013 to October 2014 and January 2016 to April 2016.
Teaching Assistant at King's College London
December 31, 2019 - August 27, 2025
Supervised exercise sessions and graded exams for mathematics and quantitative methods courses during the academic year 2018-2019.

Education

Advanced Masters in AI, Big Data Analytics at KU Leuven
January 1, 2021 - December 31, 2024
MSc in Data Science at UCL
January 1, 2021 - December 31, 2023
PgCert in Applied Statistics at Birkbeck University of London
January 1, 2017 - December 31, 2017

Qualifications

PgCert in Applied Statistics (distinction)
January 1, 2017 - August 27, 2025

Industry Experience

Education, Financial Services, Professional Services, Software & Internet, Government

Experience Level

Expert
Expert
Expert
Expert
Expert
Intermediate
Intermediate
Intermediate

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