Hire remote data scientists near Sydney or in a similar time zone
Sidney Park
Sidney is an experienced business intelligence and data engineer. His expertise includes BI dimensional modeling, data pipelines, dashboards, reports, and handling API-related data. He has served as team Scrum Master, led migration and upgrade projects, mentored team members, and was recognized as the top employee for his ability to build excellent client relationships.
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Ren Xingyu
Xingyu is a data science and data analytics enthusiast with over six years of hands-on experience implementing end-to-end data solutions, namely targeted marketing solutions, recommender systems, and user profiling. He has proposed and implemented optimization and machine learning algorithms for various practical problems in an eCommerce context. Xingyu also has experience as a data science analyst with Pyspark and SQL.
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Joslyn Lim
Joslyn is a seasoned data practitioner with demonstrated experience across multiple industries, including technology consulting and customer service. With her academic background in applied statistics and a skillset in machine learning, data analytics, Python, and SQL, Joslyn has delivered numerous projects with positive business impacts on customers.
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Pengrui Huang
Pengrui is a data engineer with over six years of experience. He is also a full-stack software engineer working remotely with English-speaking team members. He specializes in hedge funds, builds data platforms for quantitative trading, and leads projects in different environments and languages. Pengrui joined Toptal because he enjoys freelancing and wants to work on the best projects.
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Peiyao Li
Peiyao has more than a decade of experience in data science as a project manager, data engineer, and machine learning engineer. He holds a master's degree in electrical engineering, and his strengths include Python and PostgreSQL. In the past years, he has served for top hospital and biotech companies in the US and China. Peiyao's interdisciplinary background makes him a leading candidate in the healthcare and pharmaceutical industry and associated domains.
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Edison Zhu
Edison is an Azure BI developer, data engineer, and data architect with 18 years of BI and data engineering experience across industries. Backed by an MCSE Azure Cloud Platform certification, he delivers high-quality BI solutions using Azure Data Factory (ADF), Python, Azure Functions, Azure SQL Database, Azure Synapse, Power BI, Databricks, Analysis Service, and SQL Server. Edison also excels at dimensional modeling, performance turning large data warehouses, and .NET and Angular development.
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Kiran Kumar Kolla
Kiran is a database engineer with over ten years of expertise implementing data lakes, data integrations, and data warehousing solutions. In addition to data engineering work with Cognizant and wireless with NBN Co, Kiran has enterprise experience in financial services from MetLife, ING Group, to Bank of America. He is highly motivated when challenges are thrown at him, as they bring out his best! Kiran loves to program and use logical thinking to solve complex problems efficiently.
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Wenlong Dong
Wenlong is a senior data engineer with over half a decade of experience building data and ETL solutions primarily in SQL and Python. He has strong experience in building data pipelines and is familiar with various tools like DBT, Snowflake, Redshift, Python, Airflow, Power BI, Excel VBA, and PowerShell. Finally, he has led projects including fuzzy mapping in Python, end-to-end data pipeline with Dataiku and Anaplan, Salesforce data migration, and omnichannel models in DBT, Redshift, and Airflow.
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Gunbilegt Byambadorj
Gunbilegt is a data engineer with 10+ years of industry experience in software, web, and database development. He specializes in building data warehouses, pipelines, and models using SQL, Python, C#, Spark, Hadoop, and .NET. Gunbilegt has worked in oil and gas, minerals and mining, telecommunications, CRM, and eCommerce. He is currently a Hadoop developer with Tata Consultancy Services, and his industry experience is backed by a master's degree in information technology.
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Jason Li
Jason is a data analyst and researcher interested in finding patterns in novel data sets. He specializes in using traditional statistical methods and contemporary machine learning (ML) to extract knowledge from data. His experiences range from ultra-high dimensional and big data to time-series and non-numerical data. Jason is a problem-solver with a proven ability to deliver in different team settings and to communicate with clients with diverse technical backgrounds.
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Leonardo dos Santos Pinheiro
Leonardo is a machine learning engineer with 10 years of industry experience across the government, energy markets, finance, healthcare, and consulting. Leonardo is well versed in work with analytics, data engineering, and machine learning, specializing in the development and deployment of AI systems for computer vision, NLP, and recommender systems.
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