Machine Learning, Multivariate Analysis, Unsupervised Learning, Cloud Infrastructure, Data Science, Business Intelligence Tools, Advanced Analytics, Data Warehousing, Python, Mathematical Optimization, Feature Engineering, Time-Series Analysis, High-Performance Computing, Outlier Detection and Treatment, Missing Value Treatment, supervised learning, R, Model Deployment, Statistical Modeling, Probability Statistics

Power Bi, Tableau, Sql, Tensorflow, Pytorch, Gcp, Spark, Databricks, Azure, Python, AWS, scikit-learn, R

Tensorflow, Pytorch, Hadoop, Spark, Databricks, Scikit-learn, Azure/GCP/AWS

Machine Learning, AI Solution Design, Cloud Microsoft AI Stack, Generative AI, Banking Enterprise Context, Agile Delivery Collaboration

snowflake , Python, BigQuery, Sql, MLops, Spark, Databricks, Statistical Analysis, Airflow, data pipelines, Braze, recommendation, time-series, ML models, Crm Systems, ML Engineering pipelines, data manipulation frameworks, marketing activation platforms, Kubeflow, feature stores, experimentation design, model deployment workflows, uplift, Classification, SageMaker

data engineering , Scala, Databricks, Python, Sql, AI ML pipelines, Cloud data platforms, Distributed data systems and architectures

snowflake , Python, BigQuery, Sql, MLops, Spark, Databricks, Statistical Analysis, Airflow, data pipelines, Braze, recommendation, time-series, ML models, Crm Systems, data manipulation frameworks, marketing activation platforms, Kubeflow, feature stores, experimentation design, model deployment workflows, uplift, Classification, SageMaker

Sql Programming, Sas Di, UNIX, IBM Banking Data Warehouse model, data transformation techniques, ETL techniques, data modelling algorithms

Tensorflow, Pytorch, Gcp, MLops, XGBoost, Azure, Python, AWS, LLMs, scikit-learn, generative AI, RAG pipelines