data wrangling , data engineering , Github, Pyspark, API design, Sql, Integration, Databricks, Python, Azure DevOps, Forecasting, MLflow, anomaly detection, time series modeling, feature pipeline design, dataset preparation, data quality troubleshooting

MLops, Gcp, Neo4j, PostgreSQL, AWS, Python, Azure, Rdf, Apis, LangChain, LlamaIndex, cloud platforms, Weaviate, pgvector, GenAIOps, Pinecone, LLM-driven applications, LangGraph, RAG pipelines, architecture standards, Milvus, knowledge graph systems, agentic AI systems, vector databases, knowledge-grounding frameworks, GenAI microservices, Chroma, prompt engineering, Transformers

Tableau, Sql, Excel, Decision Trees, Hadoop, Pyspark, Machine Learning, Hive, Python, XGBoost, Data Handling, feature engineering, GenAI, Modeling, Powerpoint, Regression

vectorization , language translation , tokenization , Keras, Deep Learning, Tensorflow, Hadoop, AWS, Pytorch, Azure, Sentiment Analysis, Spark, Lemmatization, GPT, BERT, Entity Recognition, AI technologies, Stemming, SpaCy, Text Summarization, Generative AI