DrivenData Labs
DrivenData Labs helps mission-driven organizations harness data to enhance services and fully utilize machine intelligence, offering expertise in AI strategy, data analysis, and machine learning competitions.
Services Offered by DrivenData Labs
DrivenData Labs provides a broad range of services designed to help mission-driven organizations maximize the impact of their data. The company specializes in AI strategy and project scoping, data analysis and machine learning, data engineering and application development, and hosts data science competitions. By utilizing these services, organizations can work smarter, deliver more impactful services, and fully leverage machine intelligence.
DrivenData Labs Machine Learning Competitions
DrivenData Labs runs online machine learning competitions that bring together a global community of over 100,000 data scientists, researchers, and quantitative experts. These competitions tackle real-world problems and generate innovative solutions from the community. DrivenData Labs also collaborates with partners like Microsoft to develop online, white-label data science competitions for students.
Notable Projects by DrivenData Labs
DrivenData Labs has undertaken numerous impactful projects. These include developing Project Zamba, an open-source Python package and web application for wildlife identification in video footage, and utilizing satellite imagery in Yemen to analyze agricultural data. The company also automated agricultural entity recognition in WhatsApp and Telegram messages, visualized the flow of fair trade coffee products, and created a real-time map to track attacks on the Ukrainian health care system.
Open-Source Initiatives by DrivenData Labs
DrivenData Labs is committed to open-source development, maintaining several projects for the community. These include Cookiecutter Data Science, a data science project template; Deon, a tool for building ethical checklists; cloudpathlib, a library for working with cloud storage paths; and Project Zamba for wildlife identification. By contributing to open-source, DrivenData Labs supports broader innovation and collaboration in data science and machine learning.
DrivenData Labs in Public Health and Education
DrivenData Labs applies data science to improve public health and education. Projects include flagging health risks at restaurants by analyzing Yelp reviews and city data, building algorithms to auto-tag K-12 school spending, and using machine learning to match students with higher education programs. These efforts aim to enhance operational efficiency and educational outcomes, benefiting both institutions and individuals.