I am a Data Science Instructor at PROSYS LABORATORY, dedicated to training students and professionals in Python, SQL, and Machine Learning with a practical, industry-focused approach. At PROSYS LABORATORY, I focus on delivering hands-on training through real-time projects to help learners build strong technical and problem-solving skills.

I have experience working on projects such as Placement Prediction using Machine Learning, using tools and technologies like Python, Pandas, NumPy, Matplotlib, Seaborn, and Scikit-learn. I also guide learners in using development environments such as Jupyter Notebook, VS Code, and Google Colab.

At PROSYS LABORATORY, my mission is to simplify complex concepts and make learning accessible for everyone. I emphasise practical implementation, interactive sessions, and project-based learning so that students gain confidence to work on real-world data science and analytics problems.