InnoData

Analyze a given dataset to uncover patterns, trends, and insights. Create meaningful visualizations and present findings through dashboards or reports.

Build a machine learning model to predict outcomes such as sales, customer behavior, health risks, or demand forecasting using the provided dataset.

Participants must clean messy, incomplete data and engineer useful features to improve model accuracy and data quality.

Develop an end-to-end data science solution using ML algorithms to solve a real-world problem like fraud detection, recommendation systems, or sentiment analysis.

Convert raw data into a compelling story using insights, charts, and narratives that are easy for non-technical audiences to understand.