Predictive Modelling, Python, Sql, graph analytics, experimentation frameworks, anomaly detection

S3, Nosql, Tensorflow, Pytorch, Flask, Cosmos DB, Python, BigQuery, Redshift, Sql, Azure ML, Git, Spark, Databricks, FastAPI, Airflow, GenAI, Hugging Face, LangGraph, Vertex AI, vector DBs, LangChain, LLMs, Scikit-learn, SageMaker, RAG, LlamaIndex, CI CD for ML

Machine Learning, Hadoop, Sql, Deep Learning, Tensorflow, Data Quality, Pytorch, Gcp, MLops, Spark, Data Governance, Predictive Analytics, Azure, Python, AWS, Generative AI, LLMOps, Scikit-learn, reinforcement learning, Model Deployment

data engineering , Machine Learning, Hadoop, Apis, Sql, Javascript, MLops, Data Visualization, Kubernetes, Python, RShiny, Dash, Streamlit

Nlp, Deep Learning, Ml, MLops, Pyspark, Time Series, Python, Sql, GenAI

Scipy, Pyspark, Sql, Numpy, Pandas, XGBoost, Python, hyper-parameter optimization, Visualization, Data Processing, Amazon Quick Sight, object-oriented programming, code versioning with Git, CI CD, Scikit-Learn, model validation, test-driven development, AWS SageMaker, transformation pipeline development, data ingestion, feature selection

Time Series, Pyspark, Azure Databricks, Unsupervised Learning, Sql, Deep Learning, Nlp, Docker, Kubernetes, Python, supervised learning, ensemble methods, GenAI applications, CI CD pipelines, advanced algorithms

online learning , Tensorflow, Pytorch, Python, Model-Based RL, RNNs, Representation Learning, Offline RL Simulation, Latent Dynamic Models, Transformers, Supervised Fine-Tuning, State-Space Models

causal inference , Machine Learning, Sql, Git, Docker, Python, Statistics, Modelling Libraries, Jupyter, Data Analysis, Simulation, Econometrics