Hire Freelance Linear Programmers
Carlos J. Gil Bellosta
Carlos has 17 years of experience in data science in domains such as IoT, financial risk, credit scoring, churn analysis, biotechnology, and eCommerce. His international industry experience is backed by completing all courses toward a PhD in statistics and a master's and bachelor's degree in math. In addition to being an active contributor to the ecosystem of R packages, Carlos shares his expertise by giving talks and teaching data science at universities and business schools.
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Julio Oliveira
Julio is a machine learning engineer, specializing in big data analytics. For the past three years, he has helped major companies, such as Fiat Chrysler Automobiles and a Brazilian credit bureau, improve their machine learning platforms. By combining big data and analytics, he has developed machine learning pipelines that run hundreds of machine learning models. In addition to his industry experience, Julio teaches university and other online courses in machine learning and data science.
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Behrang Koushavand
Behrang is a geo-statistician, data scientist, and professional engineer with 10+ years of industry experience. He has deep knowledge of multivariate statistics and industry scale optimization algorithms, classical machine learning, deep learning, and computer vision. Behrang has participated in 30+ Kaggle competitions and has experience with different types of data and ML algorithms.
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Daman Singh
For the past five years, Daman has been working as a back-end developer, building B2B and B2C applications. Some industries he's worked in include retail, supply chain, and fintech. Daman's most notable experience was working on building and scaling complex microservices for business functions, including KYC/KYB, authorization, ledger flows, and integration testing. He loves to code in Go and believes it's built for software engineering today.
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Diego Ignacio Lopez
Diego is a specialist machine learning developer who is currently conducting academic research on advanced, data-driven reduced-order modeling techniques. His experience includes working with Fortune 500 companies in the aerospace industry, developing models for statistical learning, optimization, uncertainty quantification, and characterization of complex systems.
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Miguel Díaz Iturry
Miguel is experienced with full-stack development, database architecture, data warehouse architecture, automation circuit design, and micro-controller programming. He designed the database architecture and implemented the back end from multiple MVPs and PoCs in different areas: restaurants, wholesales, employee management, and real estate. Miguel also has experience with front-end development and has been involved in machine-learning projects lately.
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Erik Arakelyan
Erik is an ML researcher currently pursuing a PhD in machine learning at the University of Copenhagen (UCPH), specializing in topics of NLP, Knowledge Graphs optimizations, and explainability in NLP. He is looking for opportunities to apply his deep learning and software engineering skills in an exciting and challenging project.
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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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Ee Ann Ng
Ee is an of the box thinker with a passion for learning, problem-solving, and overcoming challenges. A good bridge between business and technical teams, she has a solid business acumen, data literacy, and technical skills. Ee has the ability to grasp business processes and operations through exploring and analyzing data in natural sources or warehouses. She is always detail-oriented and a strong advocate of data validation. Quality assurance (QA) checks are always a given.
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Aditya Andra
Aditya is a developer with experience building machine learning and statistical models with large-scale data sets on cloud platforms using the latest big data technologies. Thanks to master's degrees from the IE Business School and IIT (ISM) Dhanbad, Aditya has a solid understanding of data science in various business scenarios. He is also a former quantitative researcher specializing in time-series and machine learning-based strategies and risk models in financial markets.
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Faister Cabrera Carvalho
Faister is an experienced developer and system analyst who now specializes in TypeScript and JavaScript full-stack development. He is comfortable working with many languages and platforms and has recently dedicated himself to developing back-end applications using Node.js, Express.js, and MongoDB, and front-end applications using React. Faister also has some experience with blockchain technology and a master's degree in applied mathematics.
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