Machine Learning, Power Bi, Databricks, Tableau, SageMaker, Vertex AI, CI CD pipelines, MLOps frameworks, cloud AI platforms, LLM orchestration

Hypothesis Testing, Sql, Pandas, Gcp, Docker, Azure, Python, AWS, Logistic Regression, Shiny, scikit-learn, APIs in R, mixed-effects models, R, Bayesian Methods, Statistical Modeling, data.table, tidyverse, time-series analysis

Data Science, Machine Learning, Numpy, Pandas, Python, Sql

Machine Learning, Neural Networks, Unsupervised Learning, Sql, Deep Learning, Decision Trees, Predictive Modeling, Clustering, Python, model training, supervised learning, Ai, Simulation, ensemble methods, Evaluation, scenario analysis, advanced statistical concepts, data ingestion, Responsible AI, feature engineering, Explainable AI, Deployment

RAG (Retrieval-Augmented Generation) architecture, GANs (Generative Adversarial Networks), VAEs (Variational Autoencoders), Data Structures And Algorithms, Python Programming, LLMs, Autoregressive models, SLMs, Model finetuning, AI accelerator chips, Transformer-based networks, Generative AI architectures, MLOps practices, Modern AI frameworks

Pyspark, Scala, Sql, Tensorflow, MLops, Pytorch, Docker, Spark, Flask, Python, PEFT, CNNs, Transformers, RAG, Vision Transformers, Large Language Models

Ml, Deep Learning, MLops, Python, Algorithms, data structures, generative AI architectures, LLMs, GANs, Transformer-based networks, Ai, DL, SLMs, autoregressive models, Variational Autoencoders, reinforcement learning, RAG, Agentic AI, RL, modern AI frameworks, Generative AI

Python, FastAPI, Machine Learning, Api Development, Api Management, Oops, Jenkins, Gcp, Azure, AWS, Cloud Migration, Docker, Kubernetes, Terraform, GenAI, Llm, RAG, Embeddings, CI/CD, GitHub Actions, ML Platform Modernization, Vector Databases, Pinecone, FAISS, Chroma, IaC

Python, Statistical Modelling, Machine Learning, SQL/NoSQL, ML algorithms, big data concepts

Data Science, Machine Learning, Data Analysis, Data Processing