Machine Learning, Pyspark, Big Data, Sql, Deep Learning, Tensorflow, DataBricks, Jenkins, Git, Azure Data Factory, Keras, Python, Spark MLLib

data engineering , Retrieval-Augmented Generation (RAG), Large Language Models (LLMs), Spotfire, Machine Learning, Power Bi, Tableau, Sql, MLops, Databricks, Predictive Analytics, Python, Generative AI, LLMOps, Ai, CI/CD, Statistical Modeling

Machine Learning, Pyspark, Deep Learning, Tensorflow, Git, Pytorch, Databricks, Python, AWS, LangChain, HuggingFace, Generative Modeling, Scikit-learn, MLflow, anomaly detection, Transformers, Jupyter

Pyspark, Data Modeling, ELT, Cloud Storage, Numpy, Docker, Terraform, Python, BigQuery, Sql, Jenkins, Pandas, Spark, Kubernetes, Etl, GCP Core Services, Infrastructure as Code, Cloud Dataflow, Real-time streaming architectures, CI CD, Pub Sub, Cloud Run, GitHub Actions, API integrations, Cloud Functions, Cloud Dataproc, Cloud Composer Airflow

Pyspark, Sql, Tensorflow, Numpy, Pandas, MLops, Spark, Databricks, Keras, Python, GenAI, AI Agents, MLlib, Scikit-learn

Data Profiling, Deduplication, Python, Sql, Data Quality Analysis, Match-Rate Analysis, Feature Engineering, Overlap Analysis, Statistical Validation, Data Mapping, Distributional Assessment

data engineering , Model Building, Hadoop Ecosystem, Data Modeling, Sql, Gcp, Docker, Spark, Azure, Python, AWS, Airflow, ML algorithms, Statistics, Feature engineering, ML deployment, ETL ELT pipelines, CI-CD, Model evaluation

Flask, Databricks, FastAPI, Python, Sql, Generative AI, R, Streamlit, LLM-based applications