BigQuery, Data Modeling, Sql, ELT, Tensorflow, Pytorch, XGBoost, Databricks, Python, Etl, Scikit-learn, large-scale data pipelines, Google Vertex AI, data ingestion, ML frameworks, feature engineering

Cloud Computing, Predictive Analytics, Power Bi, SAS, Tableau, Sql, Deep Learning, Regression, data visualization tools, Apache Big Data, Classification, Clustering algorithms, data mining principles, statistical modeling techniques

markov chains , Logistic Regression, SAS, Factor Analysis, Neural Networks, Tableau, Clustering, Sql, Powerbi, Decision Trees, Databricks, Python, Principal Component Analysis, Random Forests, Support Vector Machines, Boosting Algorithms, R

Data Analytics, Web Scraping, Deep Learning, Tensorflow, Numpy, Nlp, Git, Pytorch, MLops, Pandas, Azure, Python, AWS, entity extraction, data management tools, Data Communication, crawling

Machine Learning, Tableau, Json, Sql, D3, Nosql, Decision Trees, Gcp, Powerbi, Qlik, MongoDB, Clustering, Azure, Python, AWS, ggplot, AI GenAI, plotly, R Shiny, AI algorithms, Survival Analysis, Regression, Statistical Modeling

bedrock , Sql, Lambda, Spark, Databricks, Python, vector search, embeddings, LLM agents, RAG systems, re-ranking, Evaluation, SageMaker, AWS ML tooling, chunking, retrieval, Delta Lake

data engineering , Nlp, Python, Sql, Machine Learning, Cloud Tooling, Experimental Design, Statistical Evaluation

Numpy, Pandas, Pyspark, Databricks, Python, Sql, scikit-learn, MLflow

Machine Learning Algorithms, Sql, Tensorflow, Numpy, Pytorch, Pandas, embeddings, LLMs, RAG frameworks, Data preprocessing, Scikit-learn, Hugging Face, performance metrics, OpenAI APIs, large-scale datasets, feature engineering, Model evaluation