Hire the Top 3% of Data Analysts in 48 Hours

Tom has 14 years of experience with SQL, spanning roles in data engineering, report writing, data analysis and conversion, ETL development, and technical support. He has worked for various industries, including the financial and healthcare sectors, collaborating closely with internal and external stakeholders from top to bottom. Tom is used to thriving in remote and hybrid environments and strives to efficiently provide the most valuable solutions in all kinds of challenging projects.

Alex has 23 years of experience in software development and data science. He has worked for large companies building enterprise-scale software and on small agile teams and solo projects. Alex has undertaken data analysis, data visualization, and predictive modeling with a heavy emphasis on financial and time-series data over the past decade.

Daniel is an experienced data professional with a decade of experience in building analytical systems. He is happiest working on the full stack, from engineering storage systems and processing pipelines to data analysis, presentation, and building front-end dashboards. For the past several years, Daniel has been heavily into machine learning (ML) and has applied it to create value from real-world data. He has a PhD in experimental physics, so ML is not the only tool in his toolbox.

Anna is a data scientist with four years of experience in data analysis and machine learning. She works on end-to-end processes, from data scraping, data collection, and pre-processing, cleaning, and data visualization to predictive modeling development. She is skilled in training a number of ML models, comparing them, and conducting error analyses. Anna is looking for projects that allow her to use data and machine learning to solve complex problems.

Reza holds an MS and a PhD in electrical and computer engineering. As a professional with more than ten years of experience in machine learning and data analysis, he specializes in different programming languages such as Python, R, C, C++, and MATLAB. Reza has a strong background in software engineering, algorithms, and data structures.

Juan is a bioinformatics PhD with years of combined experience in data analysis, data science, and back-end software engineering. He excels both in the statistical analysis of any dataset and in the implementation of data workflows with solid software engineering practices.

Po-Ya is a proactive and hard-working engineer with three years of experience in data analysis, providing analytical insights and quality control methods. She has helped production teams track issues and take action in advance by creating clear, easy-to-understand Power BI dashboards. Po-Ya is a highly-skilled professional with motivation and the ability to embrace new challenges and offer clients the best solutions.

Tyler is a full-stack data scientist with a broad range of experience leading end-to-end data analysis and machine learning projects. These projects span a variety of industries, including eCommerce, supply chain, and SaaS. Tyler enjoys learning about new industries and building simple and effective solutions to business problems using data, whether business intelligence, descriptive analysis, or machine learning.

Paulo is a data scientist with four years of experience in multiple lines of business. With Python as the main stack, he worked with numerous machine learning algorithms, data analysis, visualization, and hypothesis testing such as A/B, statistical analysis, and even data engineering work. Paulo has an engineering background, and problem-solving comes naturally to him.

Pablo is a machine learning engineer with 5+ years of experience in data analysis, statistics, and machine learning modeling. He has worked on various domains, including computer vision, audio processing, time-series forecasting, and human biosignals such as electroencephalography (EEG). Pablo is also skilled in Python and all data processing libraries such as NumPy, pandas, SciPy, PyTorch, and TensorFlow.

Yilong is a seasoned data scientist specialized in oncology and cancer genomics research. He completed his bioinformatics PhD at the University of Cambridge and has several publications in top scientific journals such as Nature, Science and Cell. After that, he worked in various R&D roles in the industry, focusing on genomics algorithm development, bioinformatics data analysis, and machine learning. Yilong follows best programming practices in his coding and data science projects.