statistical concepts , Spark SQL, Predictive Modeling, Machine Learning, Data Mining, Data Analytics, Python, Structured Query Language SQL, Pivot Tables

Deep Learning, Tensorflow, Nlp, Pytorch, Docker, Python, AWS, Apis, Sql, Computer Vision, Gcp, Azure, Kubernetes, Airflow, data pipelines, multi-agent AI systems, MLflow, R, model evaluation, Kubeflow, data ingestion, data preprocessing, Generative AI, LLMs, Scikit-learn, ML Ops, large-scale data processing, RAG, feature engineering

Data Science, Machine Learning, Pyspark, Python, Sql, AWS, Applied AI

Prometheus, Grafana, Tensorflow, Nlp, Pytorch, Docker, Python, Azure DevOps, Jenkins, FastAPI, Kubernetes, vector search, Pinecone, CI CD, GitHub Actions, LLaVA, multimodal LLM frameworks, LangChain, speech models, Cv, FAISS, KServe, Weaviate, LlamaIndex

MLops, Pytorch, Weakly-supervised learning, AI development in regulated environments, Medical image analysis, Deep learning workflows, Experiment reproducibility, Multimodal models

Matplotlib, Tableau, Sql, Nosql, Tensorflow, Numpy, Nltk, Pandas, Pytorch, Seaborn, Keras, Python, Gensim, GPT, Scikit-Learn, R, BERT, SpaCy

snowflake , causal inference , BigQuery, Pandas, Spark, Python, Sql, Statistical Analysis, scikit-learn, cloud data environments, statsmodels

snowflake , Gcp, Docker, Pyspark, Python, Sql, AWS, Synthetic Control Methods, Airflow, Hierarchical Multilevel Modeling, Gradient Boosted Regression Trees

Tensorflow, Sql, AWS, Pytorch, Python, Git, Pyspark, MLops, Generative AI