178 ZakariaSiddiqui

I am a data scientist with an M.Tech in Computer Engineering and a strong focus on applied machine learning for medical imaging and anomaly detection. I combine research-oriented modeling with practical deployment skills.

During a Data Science internship I worked on anomaly detection and data visualization, applied FastAPI for ML service deployment, and performed data cleaning, feature engineering, and SQL analysis. I enjoy turning experimental models into reliable services.

My projects include developing a Wasserstein GAN with dual discriminators (WGAN-D2) for CT and MRI anomaly detection, integrating self-attention and spectral normalization, and evaluating models with ROC-AUC, PR-AUC, and other metrics. I also built an AI Resume Builder using Streamlit and Google Gemini, implementing ATS-aware keyword scanning and PDF generation.

I am motivated by roles that bridge research and production, where I can contribute to end-to-end ML pipelines, collaborate with cross-functional teams, and continue learning modern ML and deployment practices.