probability , Tensorflow, Numpy, Nlp, Pytorch, Real-Time, Python, AWS, Apis, Batch, Clustering, Sql, Deep Learning, Pandas, Gcp, Time Series, Azure, end-to-end ML models, Training, large datasets, model evaluation, Classification, Deployment, Validation, data preprocessing, Data Analysis, ML algorithms, Cloud platforms, Scikit-learn, Statistics, Regression, Recommendation Systems, tuning techniques, feature engineering, ML model deployment

snowflake , Pyspark, Gcp, Databricks, Azure, Python, AWS, Generative AI, LLMs, cloud-native architecture, Vector Databases, DL libraries

data engineering , Machine Learning, Hadoop, PostgreSQL, Sql, Tensorflow, Gcp, Pytorch, Spark, Azure, Python, AWS, Computer Vision, Scikit-learn, Ai, reinforcement learning, ETL processes, Data preprocessing techniques

Kubernetes, Pytorch, Matlab, Python, Tensorflow, Docker, R, MLflow

causal inference , Sql, Databricks, Predictive Modelling, Pyspark, Machine Learning, MLops, Clustering, Python, Azure, Optimisation, Time-Series Forecasting, Segmentation, GenAI, Uplift Modelling, Classification, Regression

Data Science, Coupa, Robotic Process Automation, Servicenow, Sap Ariba, Tonkean, Ivalua, Large Language Models, Ai, ZipHQ, automations, Reporting, Machine Learning plugins, Source-to-Pay suites

Sql, Databricks, Time Series, Machine Learning, Pyspark, MLops, Clustering, Python, Azure, Statistical Quality Control, Llm, Optimisation, GenAI, prediction, CI CD, Forecasting, Operations Research, Classification, Bayesian optimization, Statistical Process Control

Tensorflow, Pytorch, Kubernetes, Python, Matlab, Docker, R, MLflow