process mining , Ml, Machine Learning, Clustering, Automated Testing, MLops, Databricks, Cloud platforms, Ai, Model versioning, anomaly detection, Celonis, Classification, Experiment tracking, Prescriptive optimization models, Signavio, Operations Research, Responsible AI, Graph analytics, Explainable AI, Observability, Time-series forecasting, Monitoring

Scipy, Pandas, Numpy, Power Bi, XGBoost, Python, Sql, catboost, scikit-learn, statsmodels, lightgbm

BigQuery, Microservices, Tensorflow, MLops, Pytorch, Terraform, XGBoost, Restful Apis, Python, LangChain, Tekton, Generative AI, scikit-learn, AI ML Development, cloud-native technologies, AutoGen, Cloud Run, Vertex AI, LlamaIndex

snowflake , Matplotlib, BigQuery, Google Cloud Platform, Power Bi, Tableau, Sql, Cloud Storage, Seaborn, DataFlow, Python, Plotly, Vertex AI

Machine Learning, Artificial Intelligence, Tensorflow, Data Science, Sklearn, XGBoost, Pytorch, Databricks, Azure, Python, AWS, MLlib, CPLEX, Statistics, MLFlow, Gurobi

Pyspark, Sql, Databricks, Deep Learning, Pytorch, Python, Nlp, MLflow, LLM APIs, LangChain, Agentic AI, Generative AI, Transformer-based Models, Azure AI services, LangGraph

data engineering , advanced Excel, databricks, Data Visualization, Qlikview, Python, Sql, Relational Databases, scenario analysis, AI-driven analytics, ETL processes