We have experienced data scientists who contribute their time and skills to give training on machine learning, data science, and AI projects. We strive to tackle real, socially impactful issues. We also encourage volunteers to identify issues by themselves and submit a project to us. We will select the most impactful projects and provide volunteers with project guidance. The problems can come from the following domains but are not limited to: health, education, sustainability, public safety, human services, transportation, economic development, and more.

As a volunteer data scientist, you will learn to apply your data science, analytical, and coding skills, and meet with other volunteer data scientists to collaborate on real projects, while being supervised by data science mentors from professional and academic backgrounds.

If you’re new to data science, we recommend joining us in undertaking projects on the Kaggle website. By starting with introductory projects, you can apply the data science knowledge you’ve acquired from books to real-life scenarios. Depending on your interests, you can opt for research-oriented projects, analysis-focused projects, or any projects that capture your attention. These projects are authentic and present interesting challenges. Therefore, with our supervision and professional guidance, we aim to enhance your experience in tackling real-world problems.

When you feel adequately prepared, you can collaborate with other volunteers as teams for Kaggle competitions. We encourage you to select topics that ignite your passion so that you can dedicate your efforts to the competition. The primary objective of participating in Kaggle competitions is not solely winning the cash prize. However, if your team emerges victorious, every member can share in the reward. The primary purpose of this activity is to engage volunteers in real projects and facilitate significant learning experiences.