SAS, Time Series, Sql, Spark, Python, Forecasting, Classification, model calibration, performance metrics, R, Regression, Statistical Modeling, Segmentation

statistical data analysis , Data Manipulation, Machine Learning, Sql, Python Programming, Clustering, Software Development Methodologies, Project Delivery, UNIX command line, Agile development practices, anomaly detection, Classification, data analysis libraries, ML Ops, feature engineering

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

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

AI & Data Analytics, snowflake , Python, React, AWS, Llm

Cloud Computing, Machine Learning, Data Visualization, Big Data, Python, Sql, Statistical Analysis, Deep Learning

Statistical Analysis, Machine Learning, Predictive Modeling, Python, Sql, R

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