Hire Freelance Recommendation Systems Specialists
Abhimanyu Veer Aditya
Abhimanyu is a machine learning expert with 15 years of experience creating predictive solutions for business and scientific applications. He’s a cross-functional technology leader, experienced in building teams and working with C-level executives. Abhimanyu has a proven technical background in computer science and software engineering with expertise in high-performance computing, big data, algorithms, databases, and distributed systems.
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Ahmed Shaher
Ahmed is a senior data scientist with experience in innovative data science projects, including four years at Microsoft where he has worked on projects in the fintech, eCommerce, media, and oil and gas sectors. Ahmed has collaborated with customers' engineering teams and built complete pipelines, including data ingestion, machine learning models, and deployment to production. His industry experience is backed by a master's in computer science and machine learning from a top US business school.
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Ming Liu
Ming is a machine learning engineer specializing in recommender and anti-fraud systems. He has been working in data science and AI for the past four years, including building and improving the recommender system for Shopee and TikTok, which have hundreds of millions of users and items. Ming's industry experience is backed by a master's degree in computer science.
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Leandro J M Machado
Leandro is a data scientist and since 2013, he's been delivering data and machine learning solutions for clients in the fields of eCommerce, advertising, insurance, and financial services. His expertise ranges from early-stage prototyping to deploying large-scale machine learning services.
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Dávid Natingga, Ph.D.
Dávid helps his clients solve the most complex analytical problems using mathematics, data science, and technology. He has aided numerous clients, including big names like Infosys, Palantir, Suez, and TomTom. Dávid's top niche is high-frequency time series analysis. He makes the impossible possible. His inventions encompass robust Fourier transform, robust anomaly detection, and overcoming the curse of higher dimensionality. Dávid's strengths include curiosity, creativity, and persistence.
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Carlos del Cacho
With 15+ years of experience, Carlos has deep technical knowledge within the AI space. A rare breed with expertise in data engineering, data science, and general software architecture. A techie with a business heart, he has gained wisdom in online business models, retention strategies, churn analysis, LTV computation, and sales forecasting within a variety of industries.
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Thomas James Cartwright
Thomas has three years of industry experience designing, developing and productionising machine learning solutions and five years of industry experience developing software solutions. He holds a Master of Science in AI (with merit) from the University of Edinburgh, specialising in traditional machine learning, deep learning, and reinforcement learning. Due to a keen interest in entrepreneurship, Thomas joined Toptal to contribute his expertise and explore new challenges.
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Adam Ivansky
Adam has six years of experience in data engineering and data science. His tools of choice include Python 3, Spark, and SQL. His main focus areas include ETLs and machine learning marketing pipelines. Adam is able to effectively communicate with both highly technical and non-technical specialists.
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Eriksson Monteiro
Eriksson possesses a PhD in computer science and is an experienced full-stack developer and machine learning engineer. For the past five years, he's built web and mobile applications and has participated in several machine learning tasks in diverse data science fields. He's particularly good at working with application frameworks such as Django, Play Framework, and Node.js.
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