Git, Spark, Python Programming, Data Modeling, Databricks, Advanced Sql, Building scalable ETL pipelines, Data warehousing and BI tools integration

Tensorflow, Pytorch, Docker, Oracle, Python, AWS, Sql, Cuda, Git, Gcp, Neo4j, Keras, Azure, AWS Bedrock, NVIDIA, Google Gemini, Transformer architecture, Mistral, Vertex AI, Diffusion models, Agentic workflows, Graph DBs, GANs, LLaMA 3.0, Copilot, OpenAI GPT-3.5

Machine Learning, scrapy, Sql, Nosql, Pandas, Numpy, Gcp, Spark, Azure, Python, AWS, scikit-learn, Ai, Analytics, R, BERT

Git, BI, Apache Spark, Databricks, Python, Sql, ELT, Etl, Ai

snowflake , Mqtt, Kafka, Sql, Tensorflow, Spark Streaming, Pandas, Pytorch, XGBoost, Databricks, Python, Airflow, Scikit-learn, MLflow, Flink, dbt, Kubeflow, AWS Kinesis

statistical data analysis , Power Bi, Sql, Linux, Excel, Python, Schematics and CRO usage for debug, Silicon Bring-up and Validation, Vmin Characterization, PMIC and Regulator Architecture, PVT Processes, Data Center CPU, SoC Power Architecture, Semiconductor Technology, Power integrity and PDN analysis, AI accelerator platforms, Android Debugging

Sparql, Tensorflow, Pytorch, Data Science, Python, AWS, Sql, Gcp, Databricks, Azure, embeddings, knowledge engineering, scikit-learn, enterprise ontologies, big data infrastructure, vector databases, semantic retrieval, Cypher, enterprise knowledge grounding, GQL, semantic models, ML libraries, GenAI systems, cloud environments, graph query languages, RAG, semantic data systems, applied AI

Pyspark, PostgreSQL, Pl Sql, Autosys, Sql, Unix Shell Scripting, Apache Kafka, Databricks, Oracle, Python, AWS, Airflow, NoSQL databases