Anis Kudachi

At VisionAstra, I gained hands-on exposure to AI/ML and emerging technologies through practical learning and project activities, with work across AI/ML, electric vehicles, web development, and cybersecurity.

On my driving-style clustering project, I used Python-based data analysis to preprocess driving behavior data and applied K-Means to group similar patterns. I used the Elbow Method to help choose the number of clusters.

I also processed and analyzed employee data with PySpark and Apache Spark, applying transformations and aggregations to derive insights. My projects include an IoT and AI concept for weather-based clothes collection automation, and small AI prototypes for text summarization and sentiment analysis.