Hire Data Processing Specialists
Leonid Ganeline
Leonid is a machine learning and data science engineer proficient in data exploration, experimentation, model training, and fine-tuning using Python, SQL, and Cloud ML. With experience in natural language processing (NLP), anomaly detection, and expertise in building ML teams, Leonid is ready for his next challenge.
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Carina van der Zee
A seasoned AI/ML and statistics expert, Carina leverages her comprehensive skill set to deliver impactful solutions as a consultant, freelance, and CTO. Her impressive trajectory spans from top Wall Street banks to technical leadership in the tech sector, backed by robust academic credentials in mathematics, engineering, and business. Passionate about solving analytics, automation, and optimization challenges, Carina propels businesses into the future with her data-driven approach.
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Sergei Markochev
Sergei is a lead data science and AI/ML developer with extensive experience—over 15 years' worth. He has led end-to-end project delivery and provided technical expertise for complex decision problems for FTSE 100 companies and SME businesses. Sergei possesses a PhD in Physics, has one patent and six academic papers, and recently won 1st place in an international data science competition.
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Stéphane Thibaud
Stéphane is a data scientist and software engineer with 12+ years of professional experience. Over the past five years, he has focused on applied machine learning and statistical estimation, building rigorous models that turn complex, real-world data into reliable decision support. His experience spans forecasting, estimation, classification, and unstructured data, with a strong emphasis on experimental design and robust evaluation.
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Sergey Antopolskiy
Sergey is an expert data scientist and machine learning engineer. He has solved data analytics, visualization, and modeling problems and developed architecture and pipelines for data-centered workflows. He automated manual production steps in drug manufacturing using ML models, which led to a throughput increase of 200%. Sergey has a scientific background with extensive industry experience and understands complex problems in-depth to create the most suitable approach to generate business value.
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Pavel Logacev
Pavel is a data scientist specializing in Bayesian methods. He has a master's degree in computational linguistics and a PhD from Potsdam University in Germany. Pavel has over 10 years of experience in statistical data analysis and data science, having worked in sectors as diverse as pricing, psychology, finance, education, health, eCommerce, SEO, and betting markets.
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Anna Tshngryan
Anna is a data scientist with four years of experience in data analysis and machine learning. She works on end-to-end processes, from data scraping, data collection, and pre-processing, cleaning, and data visualization to predictive modeling development. She is skilled in training a number of ML models, comparing them, and conducting error analyses. Anna is looking for projects that allow her to use data and machine learning to solve complex problems.
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Karol Ďuriš
Karol is a data scientist with 7+ years of experience delivering ML solutions across fintech, banking, travel, and industrial domains. With a focus on predictive modeling, customer analytics, and data-driven decision support, Karol has proven results such as doubling ancillary sales and improving hiring success rates.
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Badr Eddine
Badr is a machine learning engineer focused on search, ranking, and applied LLMs, with 6+ years and an Oxford MSc (distinction). He has shipped 5+ production learning-to-rank models for eCommerce search, contributing 9-figure incremental revenue, and co-authored a cascade-ranking paper at The Web Conf (ACM 2025). He builds reliable generative AI: production RAG with evaluation and faithfulness checks. Badr takes on relevance audits, RAG reliability work, and moving prototypes to production.
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Claudio S. De Mutiis
Claudio is a senior data scientist with experience in stakeholder management, recruitment, and line management. He is proficient in supervised, unsupervised, and reinforcement learning, including deep learning and neural networks. He has worked on several applications of machine learning and AI, including NLP and computer vision. Claudio has extensive industry experience, including retail/eCommerce, media, high-tech, startups, insurance, and healthcare.
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Arsine Sarikyan, PhD
Arsine is a creative and scientifically rigorous data scientist with over three years of experience. Her experience includes designing experimentation processes such as data collection, robustness checks, and explainability, developing ML and AI strategies, and conducting NLP research. She specializes in causal analytics to answer the why question and find hidden patterns and relationships. Arsine contributes to the research community by writing and publishing academic papers.
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