ARCHIT SHANDILYA

I’m an aspiring machine learning engineer with a solid understanding of supervised, unsupervised, and reinforcement learning. I’m currently completing a Postgraduate Program in Data Science and Analytics, building strong foundations in neural networks and core deep learning architectures.

I’ve developed ML and deep learning models using ANN, CNN, and RNN concepts, with exposure to NLP tasks. In my projects, I performed customer segmentation using RFM analysis and K-Means clustering, optimizing with the Elbow Method and Silhouette Score, and built a Streamlit app to visualize segments and support data-driven marketing decisions.

I also built a Parkinson’s disease detector using biomedical voice features and an SVM-based approach, focusing on preprocessing, feature scaling, and evaluation. I hold SQL certifications (Basic, Intermediate, Advanced) and an Imarticus HackerRank SQL coding assessment, and I’ve demonstrated leadership as a Cultural Head and as a Department Class Representative.