statistical data analysis , Data Manipulation, Machine Learning, Natural Language Processing, Version Control, Jira, Sql, Python Programming, Clustering, Software Development Methodologies, Project Delivery, UNIX command line, Agile development practices, anomaly detection, Classification, ML Ops, Azure AI Search

Deep Learning, Docker, Terraform, Spark, Machine Learning, Python, Sql, Airflow, Nifi, Beam

Text Analytics, Tensorflow, Numpy, Nlp, Nltk, Pytorch, Excel, Python, Power Bi, Sql, Pandas, Spark, Databricks, knowledge graphs, pgvector, scikit-learn, vector databases, evaluation frameworks, Streamlit, RAG pipelines, SpaCy, LLMs, prompt engineering, Agentic AI, FAISS, feature stores, responsible AI practices

Sql, Tensorflow, Tableau, Deep Learning, MLops, Power Bi, Pytorch, Python, Nlp, R, cloud platforms, big data tools, ML frameworks

Machine Learning, Apache Spark, Sql, Pytorch, Gcp, Azure, Python, Computer Vision, AWS, Speech NLP, Generative AI, Big Data platforms, GPU computing

SAS, Spark, Python, Sql, R

Data Science, Pyspark, Databricks, Azure, Python, Sql, Deep Learning, AWS, Life Sciences Data, Statistics, Unsupervised ML

Pytorch, XGBoost, Python, Sql, scikit-learn, LightGBM, CatBoost

Tensorflow, MLops, Pytorch, Kubernetes, Python, Data Privacy, Spark, LangChain, LlamaIndex, MLflow, Pinecone, OpenAI APIs, AI compliance standards, FAISS, CI CD for ML