Mohammed G.

Developed ML & DL models for classification and prediction tasks.

Built NLP-based information retrieval systems using TF-IDF.

Designed IoT-based smart systems with real-time data processing.

Evaluated models using accuracy, precision, recall, and F1-score.

Built loan prediction system with +85% accuracy.

Applied data preprocessing, feature engineering, and hyperparameter tuning.

Used Scikit-learn, Pandas, NumPy for end-to-end ML pipelines.

Designed neural network achieving +97% accuracy on MNIST.

Applied regularization techniques (Dropout, L2, EarlyStopping).

Compared optimizers (Adam, SGD) for performance improvement.

2022 – 2026

GPA: 3.33