Mohd Huzaif

Data Scientist with hands-on experience in machine learning, predictive analytics, and end-to-end model deployment using Python, SQL, Scikit-learn, TensorFlow, Power BI, and Docker. Passionate about solving business problems through data-driven insights and committed to continuously advancing my expertise in Deep Learning, Computer Vision, Generative AI, and scalable AI solutions.

Data Science Consultant, Intern at Rubixe (2025-09 – 2026-03)

• Developed Random Forest, Decision Tree, and XGBoost models achieving 93% prediction accuracy.
• Engineered features and optimized model performance using cross-validation and hyperparameter tuning.
• Built end-to-end ML pipelines for data preprocessing, model training, evaluation, and deployment.
• Collaborated with business stakeholders to translate requirements into predictive analytics solutions.

B.Tech in Computer Science & Engineering – Dr. Abdul kalam Technical University (2020 – 2024)