Hire Freelance Streamlit Developers and Engineers
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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Harrison Marick
Harrison is a seasoned professional with experience delivering predictive machine learning and NLP algorithms, back-end infrastructure, front-end data visualization tools, and web apps. He has built many data products from scratch, helping firms monetize their data. Additionally, Harrison has worked as an individual contributor and project leader, driving a team of data scientists toward a common goal: maximizing business value.
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Nizar Malkiya
Nizar is an engineer with 10+ years of experience in research, design, and implementation of data solutions. He is passionate about crafting quality software to transform large amounts of data into easily understood and useful insights. Nizar excels in all phases of this quest: data collection, visualization, and modeling; system architecture; algorithm design; and software deployment. Clients include healthcare, research, insurance, telecom, aerospace, advertising, consulting, and education.
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Drappeau Samia
Samia is an accomplished astrophysicist turned full-stack data scientist. She has a PhD in astronomy/astrophysics and leverages her critical and creative thinking with industry-oriented problem-solving skills. She offers innovative approaches to solving data strategy and data-driven problems using custom-built machine learning and deep learning approaches. Samia has published a dozen peer-reviewed articles and a book and developed specialized apps and predictive prototypes for clients.
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Bhavesh Kakwani
Bhavesh is an award-winning developer with a strong foundation in math and electronics. His professional experience includes end-to-end embedded software development and hardware design. His code runs on SpaceRyde's gondola and rocket, McMaster University's launched satellite, Quanta Vici's Bluetooth gloves, and Ecobee's IoT lightswitch. These projects are on embedded Linux and microcontrollers (both bare metal and RTOS) and are written in C, C++, and Python.
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Ioannis Melas
Ioannis is a data scientist with expertise in prototyping, developing, and deploying data science and ML workflows that best leverage business data. This includes exploratory analysis such as dimensionality reduction, clustering, feature extraction, model fit/parameter estimation, and supervised analysis such as classification and regression. Ioannis is an expert in structured and unstructured data (NLP). Some of his notable clients include the U.S. Food & Drug Administration and AstraZeneca.
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Surbhi Gupta
Surbhi, previously a CTO at a GenAI startup and assistant professor at MUJ, is a generative AI, ML, and NLP expert with 5+ years of experience. She has designed and developed ML-based end-to-end solutions for startups at Toptal and Fortune 500 clients at Utopia. Her expertise includes ML, deep learning, NLP, computer vision, LLMs, GPT, AI, MLOps, and AWS. Surbhi solved problems in EAM, marketing, finance, chatbot, and crypto industries. She published research in robotics and optimization.
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Martin Mirakyan
Martin has several years of experience in the field of machine learning and full-stack development while working for companies like Picsart or YerevaNN Research Lab. He specializes in React and natural language processing (NLP) and has completed many projects in this field. Martin is an exceptional communicator—with frequent reach outs—and has experience working in all types of teams, from small (five members) to large companies like Facebook.
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Timo Klock
Timo is a full-stack data scientist with eight years of professional experience in data-heavy applications and a PhD in machine learning and statistics. He can work in different roles on the data lifecycle in industrial applications as a data engineer, data scientist, ML engineer, or data analyst. Timo is experienced with Python and SQL, and many modern data frameworks.
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Xavier Coubez
Xavier holds a PhD in particle physics and participates in one of the two main CERN collaboration projects. For five years now, he has been working as a postdoctoral researcher at Brown University (USA) and RWTH Aachen University (Germany), developing in-depth knowledge about deep learning. Xavier studied the performance of several generations of algorithms for 3D object identification and worked on medical imaging and genomics projects, eager to apply data analysis to medicine.
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Meghana Bhange
Meghana is a machine learning engineer with a passion for solving problems in a data-driven manner. She is currently pursuing her Master's Degree with a research focus on privacy-preserving technologies at the Trustworthy Information Systems Lab, ÉTS Montréal. She has experience in natural language processing and has previously published work at SemEval-2020. Meghana is passionate about working on creative projects and always looks for new ways to apply her skills.
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