Hire Praneeth - Machine Learning Engineer

Built and deployed machine learning models for classification and forecasting using Python, scikit-learn, and XGBoost. Cleaned and prepared large datasets, performed feature engineering, and evaluated models using cross-validation and performance metrics like F1 and ROC-AUC. Deployed models using Flask and Docker, and monitored production performance. Collaborated with analysts and data engineers to translate business requirements into ML solutions. Contributed to end-to-end ML pipelines and automated workflows using MLflow and Airflow.

Developed and deployed machine learning models for classification and regression using Python and scikit-learn. > Performed data cleaning, feature engineering, and model evaluation to ensure high accuracy and reliability. > Collaborated with data engineers and analysts to understand business requirements and deliver ML solutions. > Deployed models using Flask and Docker on AWS/GCP, and monitored performance in production.