Hire remote Data analysts near Vancouver or in a similar time zone
Roxana Ibanez
Roxana has more than 10 years of experience advising and assisting companies and clients in data warehousing, business intelligence, data governance, and digital transformation. She understands the benefits of good communication and clean code and how a well-projected architecture helps productivity and maintainability in the long term. Roxana's extensive experience in the data domain has been proven to help leverage applied analytics to manage complex problems.
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Derek Owens-Oas
Derek has a PhD in statistical science from Duke and has worked as a data scientist and software developer at Xylem. He's the founder of Tech Smart Magic. Published in the Journal of Classification and a TA of the year, he's an expert in research and teaching. He provides interactive apps, visualizations, and reports. Derek's Python and R programming, top AI and ML methods, and ability to communicate make him an asset to any company. His specialties include text data and online social networks.
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Henrik Sergoyan
Henrik is a data scientist with over eight years of experience specializing in natural language processing, focusing on GenAI and retrieval-augmented generation (RAG) solutions. He excels in building end-to-end data solutions, including data collection, processing, analytics, reporting, and deployment. Proficient in SQL and NoSQL databases, Henrik combines strong project management skills with innovative problem-solving to deliver exceptional results.
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Mark Gross
Mark is a system analyst with over a decade of experience in SQL, stored procedures, database management, troubleshooting, and process improvement in the healthcare, retail, and e-learning industries. He leverages data and collaborates cross-functionally to develop and modify reports that meet client needs. At Relias, Mark managed data migrations, ensuring accuracy and serving as technical liaison. He also streamlined operations for a face-painting business with a custom-built CRM tool.
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Andrew Tilley
Andrew has nearly 10 years of experience deploying predictive algorithms and end-to-end data solutions, increasing his companies' net revenue by tens of millions of dollars. His technical acumen, combined with deep communication skills to both technical and non-technical colleagues, ensures he has a broad impact across teams who work with him. Whether the end result is a data product or a detailed analysis, Andrew relishes the opportunity to solve business problems with machine learning.
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Peter Daniels
Peter is a seasoned data platform expert specializing in the Microsoft stack, including Azure. With skills ranging from data architecture and engineering to database administration and development, his 29 years of experience, multiple certifications, and passion for learning set him apart in addressing clients' diverse data requirements. Most recently, Peter helped a growing company migrate their on-premise data and AI estate into Azure as part of an ERP migration to Microsoft Dynamics 365.
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Dandan Zheng
Dandan is a senior data analyst and data scientist with 5+ years of professional experience and an extensive background in predictive models, AB testing, dashboard, and end-to-end analytics projects. She has worked in the technology, live streaming, social media platform, and oil and gas energy industries, constantly collaborating with cross-functional teams. Besides work, Dandan enjoys traveling and is a big-time computer gamer.
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Simon Szalai
Simon is an accomplished software craftsman with over six years of experience in AI, data science, and application development. His mastery of Python and TypeScript, combined with his ability to quickly master new technologies, sets him apart. He is the co-founder and CTO of a vertical farming startup that raised over $400k so far. He secured third place at the Creative Destruction Labs Quantum Hackathon with the first-ever implementation of the Quantum Active Inference algorithm.
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Sean MacKenzie
Sean is a data professional with over 25 years of experience. He has designed and architected dozens of end-to-end solutions across a wide range of technologies in mission-critical settings in industries like health, aerospace, finance, logistics, and retail. He has a master's degree in data engineering and a bachelor's in economics and was certified in data analytics at Cornell University. Sean also has a YouTube channel on data engineering techniques with 10,000+ subscribers.
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Innocent Musanzikwa
Inno is a seasoned data engineer and developer who's worked at IRI—a top retail data analytics company—in Africa and North America for the past decade and as a freelance consultant for the past couple of years. As a SQL and ETL developer, he has created quality data warehouses using industry-standard techniques like Kimball and DataVaults. As a data engineer, Inno has built highly robust and scalable data pipelines both on-premise and on the cloud using several latest cutting-edge technologies.
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Andreas Freund
Andreas holds a PhD in applied math and has shown through his research and work experience a passion for using scientific computing to drive data-informed, impactful results. He wrote a thesis in the field of computational fluid dynamics and published two papers in high-impact journals as the first author. Most recently, Andreas has analyzed remote diagnostic data in the trucking industry to improve the performance of diesel engines.
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