Hire Freelance Predictive Analytics Consultants
Anne Charlotte Leysen
Charlotte is an experienced professional in data science and analytics. She has worked in various industries, including finance, digital marketing, online marketplaces, and mental health. She has co-founded two startups, where her primary role focused on development, optimization, and business intelligence. Charlotte has a strong work ethic and strives for efficiency, delivering a high standard of work that brings top results.
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Ilya Prokin
Ilya is a data scientist, CTO, and AI tech entrepreneur with a PhD. He's an expert in applied data science, machine learning, AI, and LLM fine-tuning in the manufacturing, finance, and biotech industries. He has published scientific papers, scaled various MVPs to full-featured products, pitched startups, and built a strong AI community that spread to six cities. Ilya enjoys improving businesses with data, developing innovative ways to apply data and AI, and geeking out about optimization.
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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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Derek Owens-Oas
Derek has a Ph.D. in statistical science and has worked as a data scientist and software developer at Xylem. A published author in the Journal of Classification, his expertise is in providing technical reports and insights with interactive visualizations. Derek's extensive knowledge of Python and R libraries, state-of-the-art methods, and ability to communicate make him an asset to any company. His specialties include text and online social network analysis.
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Arsine Sarikyan
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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Simone Romano
Simone is a machine learning scientist and engineer with experience in academia and enterprises, including Microsoft and Huawei. He likes to work at the intersection of deep machine learning, NLP, and information retrieval. Simone also loves to work on exploration analysis and building theoretically sound machine learning pipelines ready for production. He especially enjoys building web products.
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Sara Sali
Sara is a software engineer focused on Force.com implementations. She has a master's in computer science and presented at the RefTest Workshop (XP 2016), French Touch Dreaming 2017, the Belgian Developer Group, Amsterdam World Tour 2018, DreamOlé 2018, and Dreamforce 2018. She loves experimenting, learning, coding, and teamwork!
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Amanbir Singh
Amanbir has 10 years of experience in data science, analytics, and back-end engineering. He has worked at a large multilateral organization and with early-stage tech startups. Amanbir excels at working with clients in tackling complex business problems and has deep expertise in machine learning, data analysis, and building scalable web apps.
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Henrik Sergoyan
Henrik is a data scientist with over six years of professional experience. His primary expertise includes and is not limited to natural language processing, forecasting algorithms, gradient boosting algorithms for tabular data, data scraping, and machine learning operations (MLOps). As a senior data scientist, Henrik works with SQL and NoSQL databases, including MongoDB, and brings strong project management skills and excellence to his work.
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Yaroslav Kopotilov
Yaroslav is a full-stack data scientist with experience in business analysis, predictive modeling, data visualization, data orchestration, and deployment. He leverages a wide range of machine learning methods, statistics, and business insights to find just the right solution for a problem. Above everything else, Yaroslav aims to deliver a project that would be truly useful for his clients.
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Sebastián Castaño
Sebastián has a PhD in machine learning and data science and a decade of experience in interdisciplinary projects in medicine, banking, marketing, and consumer products, among others. His expertise includes designing data collection systems, analyzing and modeling complex data, and developing and deploying ML pipelines. As a seasoned researcher and educator, Sebastián constantly delivers compelling data-driven insights and intuitive tools for technical and non-technical colleagues.
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