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

causal inference , Python, Deep Learning, Data Manipulation, Machine Learning, Graph-based Machine Learning, Transformers

Pandas, Spark, Azure, Sql, Python, AWS, Version Control, Testing, LangChain, embeddings, Agentic RAG workflows, reranking approaches, LLM-as-judge, RAG development, vector databases, Pinecone, OpenSearch, agent frameworks, Semantic Kernel, Elastic, LangGraph, FAISS, CI/CD, evaluation frameworks, Weaviate, LlamaIndex, retrieval concepts

Git, Python, Sql, Machine Learning, Gen AI, Jupyter Notebooks, Agentic AI, R

Logistic Regression, Decision Tree, Linear Regression, Svm, scrapy, Sql, Pca, Random Forest, Nosql, Neural Network, Numpy, Pandas, Gcp, Spark, Azure, Python, AWS, scikit-learn, K-mean Clustering, R, scapy, BERT

Structured Query Language, Kubernetes, Python, large language models, Relational Databases, generative AI applications, data analysis techniques, automated build test and deployment pipelines, agent frameworks

causal inference , Databricks, Clustering, Time Series Analysis, Azure Synapse Analytics, Azure Machine Learning, Recommender Systems, Hypothesis Testing, uplift modeling, statistical methods, Azure Data Lake Storage, Regression, Classification, dashboard development, lifetime value modeling, personalization algorithms, experimentation design