At Code Alpha, I completed three projects covering data analysis, classification, and machine learning using Python.
For my Unemployment Analysis with Python project, I cleaned, explored, and visualized unemployment-rate data to identify trends and patterns, then presented insights for economic and social interpretation.
I trained and evaluated a deep learning model for facial emotion detection and integrated it with a real-time camera feed. I also built a car price prediction model using vehicle features.
My other project was an Iris Flower Classification model. I’m a B.Tech student at Invertis University, graduating in 2027, and have worked with Excel, Power BI, Python, and MySQL for data analysis and visualization.
