prophet , Machine Learning, Tensorflow, Pytorch, XGBoost, Python, Sql, Deep Learning, Git, Kubernetes, scikit-learn, Temporal Convolutional Networks, Random Forests, GRU, Integrated Gradients, Gradient Boosting, data visualization tools, Time Series Models, LSTM, SHAP, LightGBM, Statistical models, counterfactuals, statsmodels, permutation importance, transformer-based models

Machine Learning, Sql, MLops, Python, Statistical Analysis, Semantic Layers, Embeddings, LLM APIs, RAG, Agent Orchestration Frameworks, Feature Engineering, Deployment, Inference, Monitoring

Graphql, Tensorflow, Pytorch, Neo4j, Python, PQ, vector databases, HNSW, Llama variants, parameter-efficient fine-tuning, Phi, Nemotron, Mistral, FAISS, LoRA, IVF, Knowledge Graphs, QLoRA

Deep Learning, Sql, Tensorflow, Pytorch, Python, content-based techniques, LLMs, transfer learning, slate optimization, reinforcement learning, bandits, embedding techniques, multi-task learning, recommendation system algorithms, candidate generation, long-term reward modeling, transformer architectures, hybrid approaches, Experimental Design, ranking, RLHF reward modeling, collaborative filtering

snowflake , Pandas, Scipy, Numpy, Python, Sql, AWS, Jupyter Notebooks, scikit-learn, Looker

Android, Cloud Computing, Machine Learning, Python, Product Engineering, Genetics, Conceptualization, Operations Research, Analytics