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

Machine Learning, XGBoost, Excel, Random Forest, Python, Sql, R

Github, Pandas, Docker, Python, Data Analysis, Demand Forecasting, Supply Chain Analytics

Machine Learning, Sql, Google Cloud, Deep Learning, MLops, Statistical Modelling, Microsoft Azure, Python, AWS, Generative AI, RAG frameworks, vector databases, prompt engineering

process mining , Deep Learning, Nlp, Spark, Databricks, Python, data pipelines, unsupervised ML, ML models, supervised ML

Matplotlib, Scipy, Pyspark, Apache Spark, Azure Databricks, Sql, Numpy, Git, Pandas, Seaborn, Databricks, Python, Scikit-learn, MLflow, Jupyter Notebook, Azure Data Services

containerization , Hadoop Ecosystem, PostgreSQL, Kafka, Big Data Technologies, Tableau, Data Modeling, RDBMS, MySQL, Distributed Systems, Shell scripting, Data Visualization, Python, AWS, Java, Machine Learning, Bi Tools, Flume, Power Bi, Scala, Google Cloud, Jenkins, Spark, MongoDB, Devops Tools, Azure, Statistical Analysis, large-scale application development, R, NoSQL databases, CI CD pipelines

Power Bi, Pyspark, Sql, Nlp, Machine Learning, Siem, Databricks, Python, AWS, GenAI, SOAR, Statistical Modeling, Graph analytics

Azure Databricks, Tensorflow, Pytorch, MLops, Python, LangChain, LLM application development, reinforcement learning, CNNs, prompt engineering, LangGraph, enterprise AI security, RAG, NLP techniques, Vision Transformers, Transformer architectures