Shashank Shahu

Computer Science undergraduate (AI & ML specialization) at VIT-AP University with hands-on ML internship experience at Cognifyz Technologies. Skilled in Python, Scikit-learn, FastAPI, and Docker.

Achieved

Elite certification (70%) in NPTEL's Machine Learning for Engineering & Science Applications (IIT Madras, 2026) — placing among the top performers across 1,589 certified candidates. Looking for ML/AI or SDE internship roles to contribute to production-grade systems.

Machine Learning Intern - Cognifyz Technologies - Remote

(2026-01 - 2026-02)

• Built supervised ML classification models (Logistic Regression, Random Forest, XGBoost); achieved measurable accuracy gains over baseline across 3 prediction tasks.
• Engineered end-to-end preprocessing pipelines (missing values, encoding, scaling) — cutting manual data prep time by ~30%.
• Applied feature selection techniques (correlation analysis, Recursive Feature Elimination) to improve F1-scores across multiple tasks.
• Evaluated models with cross-validation, AUC-ROC, and confusion matrices; presented findings and recommendations to team leads.
• Collaborated via Git in an agile workflow with weekly standups and peer code reviews.

B.Tech - Computer Science (AI & ML Specialization) - VIT-AP University (2024-08 - 2028-08)