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

Spark, ML Ops, Applied ML

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

Hadoop, Natural Language Processing, Sql, Tensorflow, Pytorch, Gcp, MLops, Docker, Spark, Keras, Azure, Python, Kubernetes, AWS, LangChain, DSPy

causal inference , prophet , Sql, Tensorflow, Pytorch, MLops, Databricks, Python, Airflow, data pipelines, scikit-learn, PyMC, Stan, Bayesian modeling, R, dbt, Experimental Design, hierarchical models, feature engineering

Sql, Nosql, Tensorflow, Numpy, Nltk, Pytorch, Pandas, Gcp, Docker, Azure, Python, AWS, LangChain, Generative AI, Hugging Face Transformers, Scikit-learn, MLflow, spaCy, NLP techniques

Pyspark, Tableau, Python, Sql, AWS, Data Analysis, Data pipeline development

Pyspark, Machine Learning, Cicd, Databricks, Azure, Python, Time Series Forecasting, ADF pipelines, Demand Forecasting

Python, data-structures, R, ML algorithms

Tensorflow, Azure, Python, scikit-learn, Data Processing