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

Data Science, MLops, AWS, GenAI, Synthetic Data Generation, Evaluation Metrics, Simulation, Optimization

vertex , bedrock , Docker, Api Development, Pyspark, Python, LangChain, LangGraph, CI CD pipelines, Transformers, OpenAI

Java, Scripting, Machine Learning, Angularjs, Kafka, Nodejs, Sql, Microservices, Spring, Data Science, Gcp, Terraform, Spark, Azure, Kubernetes, Python, AWS, End-to-end model building, Statistical Modeling, R

Machine Learning Algorithms, Sql, Gcp, Azure Cloud, XGBoost, Sonarqube, Python, AWS, FOSSA, DevSecOps practices, 42Crunch, Regression Statistical Models

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

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

Data Management, Machine Learning, Pyspark, Model Building, Sql, Deep Learning, Nlp, Predictive Modeling, Databricks, Python, Statistical Analysis, GenAI, visualization techniques, Data Analysis, scikit-learn