Vijendra malik

-Lead ML model initiatives, implementing K-mean, XGBoost and ARIMA Models to enhance predictive maintenance, performance monitoring, and energy yield forecasting, resulting in a approx 3% reduction in false positives. -Developed and deployed machine learning algorithms and Data pipelines using Airflow and AWS, achieving 18% improvement in maintenance predictions and enhancement in real-time performance analysis.

- Applied deep learning algorithms using Python. Developing state-of-the-art models for classification tasks on multi-modal datasets. - Deployed ML & DL models in production, significantly improving the accuracy and efficiency of credit risk evaluations