Power Automate, Computer Vision, Python, Sql Queries, AI ML, Apis, Automation Anywhere, Predictive Analytics, Database Integration

Hypothesis Testing, Sql, Tensorflow, Pytorch, Decision Trees, Arima, Keras, Python, Statistical Analysis, KubeFlow, exponential smoothing, support vector machines, Great Expectations, Z-Test, probabilistic graph models, T-Test, Regression, MXNet, Evidently AI, CNTK, ARIMAX, Sci-Kit Learn, BentoML

Databases, Power Bi, Machine Learning, Data Analytics, Python, Artificial Intelligence, MATLAB, Generative AI, Large language models, Ai, Excel automation

Sql, Tensorflow, Azure ML, Nlp, MLops, Azure Functions, Pytorch, Elasticsearch, Rest Apis, Azure, Ocr, Python, Computer Vision, AWS, LiteDB, Document Intelligence, ML deployment practices, annotation tooling, ADLS, ML engineering

snowflake , Github, Software Development, Data Transformation, PostgreSQL, Pyspark, Sql, React, Git, Pandas, Docker, FastAPI, NextJS, Python, LangChain, AI engineering, vector databases, Azure AI Agent Service, embedding-based retrieval, LangGraph, multi-agent workflows, agentic AI systems, LLM-powered applications

Tensorflow, Pytorch, Docker, Python, Kubernetes, data preprocessing, LangChain, Generative AI, scikit-learn, LLMs, open-source LLMs, vector databases, MLflow, Training, CICD for ML workflows, Serving, human-in-the-loop workflows, LangGraph, Evaluation, ML pipelines, RAG pipelines, feature engineering, LlamaIndex

Google Cloud Platform (GCP), Large Language Models (LLMs), BigQuery, Sql, MLops, Python, Generative AI, Data governance and security, Feature engineering, LangChain or similar AI frameworks, Data ingestion, BigQuery ML, Vertex AI, ETL/ELT processes