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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.
Show MoreMerve Acar
Merve is an experienced machine learning engineer who takes pleasure in revealing the story of data and building predictive models with a proven track record of designing and implementing pipelines for extracting, validating, cleaning, transforming, and modeling data. She is passionate about solving real-world industry problems and eager to take on new challenges and opportunities.
Show MoreLindung Manik
Lindung has more than 15 years of professional experience in the (high) tech industry as a software developer, software engineering researcher, and software architect. He is also a polyglot programmer. His primary programming language is Java, but he can quickly learn any programming language and technology. To him, they are just tools to achieve the goals. As a pragmatist, Lindung can spot the required tools to accomplish objectives fast.
Show MoreNeil du Toit
Neil is a data scientist specializing in natural language processing, including text classification, summarization, regular expressions, OCR, and data visualization. Most recently, he analyzed court record repositories from 15 different countries. Neil has also developed Django back ends and has experience with many SQL and NoSQL databases. He has worked in data strategy consulting in the insurance and retail sectors.
Show MoreCarlos 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.
Show MoreLuís Filipe Teófilo
With experience both as a scientist and an industrial software developer, Luís has the capacity to address real-world problems with creativity and effectiveness. His background in R&D also gives him an edge in the implementation of efficient and clean solutions to solve problems with unusual requirements.
Show MoreDaniel Roca
Daniel has over seven years of experience in data analytics projects. He began his career as a data analytics consultant in multiple industries, creating data-oriented solutions that helped businesses transform and grow. After that, he switched to the tech industry and worked mainly on business intelligence and machine learning projects assisting companies in reaching their strategic objectives. Daniel enjoys helping transform data into the companies' most valuable asset for decision-making.
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