Sanidhya Rajput

I’m a data analyst and ML engineer with 2+ years of experience across data analytics and machine learning, including 1 year as the sole data analyst for the Government of India. I handled messy, incomplete, real-world data for 212+ schools and 17,000+ student records, and I presented findings directly to IAS officers.

I understand the full workflow from raw data to a deployable model, and I communicate clearly with both technical and non-technical stakeholders. I’ve completed Andrew Ng’s Machine Learning Specialization (supervised learning, unsupervised learning, neural networks, and deep learning foundations) and built end-to-end ML pipelines on real business problems.

On the engineering side, I build leakage-safe, reproducible pipelines with Scikit-learn (Pipeline, ColumnTransformer, stratified K-Fold) and production-minded tooling. I’ve worked with MLflow for experiment tracking and model registry, DVC for data versioning, Evidently AI for drift monitoring, and deployed services using FastAPI, Docker, and CI/CD for ML pipelines.

I also care about impact beyond the model: I trained 500+ school staff on data entry workflows so downstream insights would be reliable. Separately, I cleared the SSB/CDS officer selection process, which strengthened my ability to lead under pressure and make decisions with limited information.