data engineering , snowflake , Machine Learning, Pyspark, Tensorflow, Numpy, Pytorch, Docker, XGBoost, Microsoft Azure, Python, AWS, Google Cloud Platform, Sql, Cloud Technologies, Git, Pandas, Databricks, FastAPI, Rest Apis, Kubernetes, Feature Engineering, Model Evaluation, MLflow, SHAP, LightGBM, Scikit-learn, Data Analysis, CatBoost

model development , Data Science, Machine Learning Algorithms, Python, Bfsi, Banking And Finance, Fintech

Rest Apis, Python, data preprocessing, prompt tuning, data pipelines, integrating AI models with enterprise applications, Monitoring, evaluation of LLM outputs, prompt engineering, model evaluation, RAG Retrieval-Augmented Generation architectures, Optimization Techniques, NLP techniques, handling large datasets

Matplotlib, Hadoop, Power Bi, Tableau, Sql, Tensorflow, Numpy, Pytorch, Pandas, Gcp, Docker, XGBoost, Spark, Seaborn, Azure, Kubernetes, Python, AWS, Airflow, Scikit-learn, MLflow, R

Ml, Deep Learning, MLops, Python, Generative AI, AI accelerator chips, DL, Ai, Transformer-based networks, reinforcement learning, Agentic AI, RL

DataFlow, Sql, Tensorflow, Hadoop, Tableau, MLops, BigQuery, Power Bi, Pytorch, Python, Matplotlib, Google Cloud Platform, Spark, Vertex AI, Airflow, Kubeflow, scikit-learn

statistical concepts , probability , Tableau, Sql, Clustering, Python, Sap Business Objects, R, R-Shiny, Microstrategy, Looker, regressions

snowflake , Machine Learning, Pyspark, Tensorflow, Numpy, Pytorch, Docker, XGBoost, Microsoft Azure, Python, AWS, Google Cloud Platform, Sql, Git, Pandas, Databricks, FastAPI, Rest Apis, Kubernetes, Data Cloud Platforms, MLflow, CI CD, Cloud-based model deployment and monitoring, Automated ML pipelines, Model registries, SHAP, LightGBM, Scikit-learn, CatBoost