Prateek Nadagouda

• Strong experience with machine learning and deep learning techniques like Pandas, Numpy, PySpark, SKlearn, Docker, MLFlow, Clustering, Regression, Classification, Decision Trees, Random Forest, xgboost, LightGBM, Neural Networks (ANN, CNN, RNN), Natural Language Processing, Snowflake, AWS Sagemaker, Sagemaker Studio, AzureML, Azure Databricks, MLOps, MLFlow, Generative AI. • Deep expertise in designing and building data science solutions using Descriptive, Predictive and Prescriptive analytics. • Technical proficiency in Python. • Visualization Tools: PowerBI