Jeshwant Kumar

Background

About Jeshwant Kumar

I'm a Senior Data Scientist with 9 years of experience designing, deploying, and optimizing machine learning and deep learning models across AWS and Azure. Proficient in building end-to-end ML pipelines, including data preprocessing, feature engineering, model training, and deployment using tools like TensorFlow, PyTorch, and Scikit-learn. Skilled in big data analytics with Apache Spark and Hadoop, and experienced in real-time streaming using Kafka, Spark Streaming, and Azure Event Hubs for predictive analytics. Hands-on expertise in NLP using BERT, spaCy, and Transformer-based models for text classification, sentiment analysis, and chatbot development. Proven capabilities in computer vision, time-series forecasting, and optimization of DL models using CNNs, RNNs, dropout, and distributed training. Strong background in SQL/NoSQL databases, MLOps, CI/CD automation, and secure Dockerized model deployment using Kubernetes, GitHub Actions, and Jenkins. Experienced in data visualization with Tableau and Power BI, and adept at building scalable serverless ML solutions using AWS Lambda and Azure Functions. Familiar with AutoML, hyperparameter tuning, feature selection techniques, and graph-based learning with GNNs for recommendation systems. Committed to mentoring data science teams, driving best practices, and ensuring compliance in AI projects with robust data governance strategies.