data wrangling , Tableau, Machine Learning, Power Bi, Python, Excel Vba, Data Literacy, Design Thinking, Statistical Validation of OKRs, Problem Formulation, Technical Decision Making, R, Data Storytelling, Advanced Statistical Modeling

Machine Learning, Cnn, Clustering, Tensorflow, Rnn, Pytorch, Celery, Docker, MySQL, Flask, Keras, Python, AWS, LSTM, SVD, Transfer Learning, GRU, LDA, uWSGI, Ensemble Learning, Transformer Models, MLFlow

Machine Learning, Sql, Python, experimentation, Statistics, ML libraries

probability , Customization, Numpy, Nlp, Pytorch, Flask, Python, Ml, Redis, Sql, Deep Learning, Django, MLops, Pandas, FastAPI, scikit-learn, multimodal systems, Hugging Face Transformers, MLflow, embedding-based retrieval, Dash, large language models, Streamlit, SpaCy, TF 2, fine-tuning, Transformers, GNNs, R-Shiny, prompt engineering, Statistics

Power Bi, Sql, AWS, Python, Excel, Git, Tableau, data visualization tools, statistical methods, R, machine learning techniques

S3, Machine Learning, Data Science, Lambda, Docker, Api Gateway, Aws Services, Redshift, Iam, Kubernetes, Document ingestion and chunking strategies, Prompt engineering, Amazon SageMaker, Agentic AI systems, semantic search, LLM-powered applications, RAG architectures, AgentCore, Vector databases, Applied AI, LLM evaluation frameworks, Embedding generation and tuning, Multi-agent architectures, Amazon Bedrock

Machine Learning, orchestration patterns, RAG agent frameworks, LLMs, end-to-end AI architectures, data science fundamentals

Cloud Computing, Machine Learning, Data Visualization, Big Data, Python, Data Analysis, SQL Databases

Sql, Python, Pyspark, Machine Learning, vector databases, LLMs, large-scale data processing tools, RAG, OOH advertising analytics, Generative AI, geospatial analytics

Knn, Deep Learning, Tensorflow, Neural Networks, Pytorch, Python, Nlp, Rnn, XGBoost, Predictive Analytics, experimentation, scikit-learn, Basic Statistics, Model deployment, Gradient boosting, ANN, Model interpretability, reinforcement learning, Regression, Random forests, Model monitoring