Hire Freelance Principal Component Analysts
Leon Coert
Leon is a machine learning expert with industry experience creating classification systems and predictive solutions for business applications. He is well-versed in developing complex solutions and possesses strong creative thinking skills. His determination to explore unknown domains in depth makes him an exceptional engineer. Leon's excellent communication and prior experience working on a variety of projects in the artificial intelligence domain help clients achieve their goals.
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Rajat Singhania
Rajat is an experienced bioinformatician specializing in next generation sequencing (NGS) and data analysis. Proficient in NGS data processing from demultiplexing to mutation calling, he excels in pipeline tool selection and optimization. Rajat is an expert in using machine-learning methodologies for cancer-type classification. His work with LifeLabs Genetics benefited hundreds of patients, and he co-first authored a Nature paper that launched Adela, a startup focusing on early cancer detection.
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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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Juan Manuel Berros
Juan is a bioinformatics PhD with years of combined experience in data analysis, data science, and back-end software engineering. He excels both in the statistical analysis of any dataset and in the implementation of data workflows with solid software engineering practices.
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Ryan Tang
Ryan is an applied scientist empowering businesses to unlock the full potential of data in solving intricate, complex business problems. For the past 8 years, he's been dedicated to building pragmatic, data-driven solutions that blend scientific rigor with practical business insight. With experience spanning technology, real estate, and insurance industries, he's played a pivotal role in driving significant revenue growth, developing cutting-edge products, and optimizing business functions.
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Colan Walsh
Colan is an experienced senior financial quantitative developer and researcher with experience across various asset classes and trading venues. He has a multidisciplinary background, having worked in quant development, quant research, and derivatives trading for multiple investment banks and hedge funds. Colan has built and managed teams of quant researchers from the ground up on numerous occasions.
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Joslyn Lim
Joslyn is a seasoned data practitioner with demonstrated experience across multiple industries, including technology consulting and customer service. With her academic background in applied statistics and a skillset in machine learning, data analytics, Python, and SQL, Joslyn has delivered numerous projects with positive business impacts on customers.
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Felice Rando
Felice is an expert in machine learning, predictive analytics, and big data, having built dozens of solutions across multiple verticals, including finance, fraud, telecommunications, and pharmaceutical research, deriving business value from raw data. He has served both as a practitioner and analytics executive in organizations such as OECD, the University of Washington, First Data, ID Analytics, and multiple start-ups. Felice has a Master's degrees in theoretical and applied statistics.
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James Arnemann
James is an experienced data scientist and machine learning engineer with several years of industry experience and publications in leading journals. He's held positions researching and deploying machine learning and deep learning models at UC Berkeley, Intel, National Laboratories, and others.
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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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Narayan Nandeda
Narayan is a data scientist with 10+ years of experience in statistical modeling, NLP, ML, deep learning, AI, and GenAI. He's experienced in deploying ML solutions across the healthcare, retail, supply chain, telecom, and eCommerce domains. Narayan has been designing, developing, and deploying data science solutions using Python and R since 2011. He's an expert in supervised and unsupervised ML, regression, classification, forecasting, reinforcement learning, GANs, and Keras.
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