Hire the Top 3% of Data Analysts in 48 Hours

Denis is a senior full-stack AI engineer and data scientist, highly skilled in modern generative tech (GPT-4, Midjourney, and more), machine learning, ETL pipelines, data analysis, mathematical modeling, big data, and MLOps. He has a PhD in mathematics, and his data science expertise includes probabilistic risk modeling, revenue forecasting, geospatial data analysis, handwriting recognition, anomaly detection in time series, data engineering, and team leading.

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.

Rosa is a full-stack developer and data scientist with a PhD, solid research skills, and extensive software engineering experience. Combining the academy and industry approaches to data sciences, she can contribute to the whole data pipeline—from exploratory data analysis to prototyping and production. Rosa has also efficiently worked on projects across different countries using her professional English, Italian, German, and Spanish proficiency.

Bilal is an experienced data scientist with solid knowledge of machine learning, data analysis, and visualization. He offers four years of professional experience in data science, working on projects related to building and deploying machine learning models, extracting insights from data, and managing data. Bilal is passionate about working with teams whose vision aligns with his values and specializations.

Tahir is a highly seasoned and creative ETL and BI consultant with an exceptional track record of accomplishment and customer satisfaction. He is highly experienced in the agile development process and has over eight years of experience in ETL and BI reporting, analytics, and DWH technologies.

Adrian is a software engineer and data scientist working at the intersection of software engineering, computer vision, and machine learning. He has experience in research, multinational corporations, and startup environments and was awarded patents for real estate and financial modeling projects. Adrian also contributed to surveillance systems for Singapore's border security and participated in competitive coding and hackathons, consistently ranking in the top 1% on platforms like HackerRank.

Cornelis is a developer, mathematical modeler, and researcher with experience working in tech at Amazon and Biomatters, and startups at Fetch.ai and Ubiquetherm. He thrives on solving new and complex problems, learning new skills and background knowledge, and excels at communicating requirements and results. Cornelis has experience in software development and supporting skills, such as data analysis, visualization, math, simulation, and complex systems.

Abdul is a certified data engineer and analyst with extensive experience in the healthcare and higher education industries. He worked on many projects involving high-profile clients, including public health and government entities. Abdul is skilled in statistical data analysis and data science.

Gustavo is a Microsoft systems architect and developer with 20 years of experience in IT. He works with alternate open-source platforms and cloud computing, focusing on highly scalable eCommerce websites. Gustavo has an extensive background in software architecture, design, analysis, and implementation and is currently improving his skills in the JavaScript ecosystem and Blockchain.

Andrew picked up programming and data analysis skills while working as an experimental physicist. He now works as a data scientist. His tools of choice are R and Python, with a lot of SQL thrown for good measure. Andrew also uses Docker extensively and has worked with both AWS and Azure. He has a particular passion for web scraping and is also an accomplished speaker and trainer.

Greg is a senior data analytics consultant with over 26 years of experience delivering advanced analytics solutions to Fortune 500 companies and government agencies. Specializing in business intelligence, workforce optimization, and decision-support modeling, he transforms complex operational data into strategic insights. Greg applies a broad range of analytical methods, modeling techniques, and visualization approaches to drive data-informed decisions and improve organizational performance.