Hire remote data analysts 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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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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Rodrigo Varela
Rodrigo is a software engineer with over a decade of experience developing applications for various industries and working with teams around the globe. He has a computer science degree from Buenos Aires University and specializes in Android, Kotlin, Java, PHP, APIs, Bash, and databases. Rodrigo is a focused, organized, and productive developer who has led many teams, managed entire full-stack development projects, and excelled as a collaborative individual contributor.
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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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Khalid Amin
Khalid is a seasoned data professional with 20+ years of industry experience. His expertise includes data architecture, data engineering, modern data warehousing, big data, and analytics. Khalid has Microsoft certifications in Azure data engineering and Power BI. Additionally, he is skilled with SQL Server and Oracle database technologies. Khalid has very good interpersonal skills and is a true team player.
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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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Ming Hao Teo
Ming is a data scientist with full-stack experience delivering end-to-end projects from POC, data analytics, data engineering, models, and MLOps. He has experience working across various functionalities and domains, such as healthcare, finance, insurance, and telco. Ming thrives on challenges and engagement and is committed to working with teams whose vision aligns with his values.
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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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Michael Kowalski
Michael has an exceptional background in finance, business, and software. He is a certified SuperForecaster and MBA with knowledge of machine learning. At Credit Suisse, he produced $24 million in profit using bespoke software tools to identify statistical arbitrage transactions in the sovereign bonds of 20 countries and built a yield curve-based pricing model for Australian Bank Hybrid Bonds. Michael has industry experience in finance, energy, telecommunications, and publishing.
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Ibrahim Mahmoud Ahmed, Ph.D.
Ibrahim is a veteran data scientist and software developer with a passion for deep learning and extensive experience in statistics and time series. Ibrahim is interested in helping businesses take full advantage of their data and take data-driven actions. His principle is to observe, model, and corroborate, disrupting the status quo with artificial intelligence.
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