Data Science, Machine Learning, Azure, Python, AWS, Deep Learning, LLMS

causal analysis , Machine Learning, Statistical Inference, Hypothesis Testing, Tableau, Python, Sql, experimentation, Statistics

simulations , Machine Learning, Pyspark, Hypothesis Testing, Svm, Random Forest, Sql, Tensorflow, Pandas, Statistical Inference, Pytorch, XGBoost, Python, Tree-based Algorithms, Scikit-learn, Optimization, MLP

graph databases , Random Forest, Nlp, Pytorch, Docker, XGBoost, Keras, Azure, Kubernetes, Python, LangChain, Generative AI, Llm, Vector Databases

Statistical Analysis, Data mining, Clustering, Autoencoders, Machine Learning, Predictive Modelling, Dimensionality reduction, Ai, Linux experience, Outlier detection, Applied statistics, Semi-supervised methods

Ml, BigQuery, Sql, Deep Learning, Databricks, Azure, Python, AWS, GNNs, statistical AI, dbt, graph-native models, Athena, custom graph algorithms

Scripting languages (e.g. Python), Data querying languages (e.g. SQL), Power analysis and minimum detectable effect (MDE) calculations, Machine Learning, Data mining, Statistical Modeling, Applied statistics, Large-scale analytics

Data Quality, Data Modeling, Data Warehousing, Sql, Dimensional Modeling, Python, ELT, Etl, Access management

Tensorflow, Jenkins, Nlp, Machine Learning, Docker, Pytorch, FastAPI, Kubernetes, Python, Uvicorn

probability , triton , Jax, Tensorflow, Pytorch, Docker, Ml, Azure ML, MLops, Kubernetes, TD3, DL, TensorRT, CNNs, ONNX, ppo, Optimization, RL agents, linear algebra, CQL, Transformers, Ai, AKS, sequence models, SAC, CI-CD, RL, ARO