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

Tensorflow, Numpy, Machine Learning, Pandas, Pytorch, XGBoost, Python, Sql, scikit-learn

Databases, Machine Learning, Sql, Python, Data Pipelines, Model Deployment, Analytics Tools, Statistics

Python, Java, Q2Q2I, dietary labels, HNSW, Q2I2I, BM25, multi-modal data, graph-based methods, real-time signals, taxonomy tagging, dense vectors, LSH, LLMs, dish attributes, sequence models, U2I, structured metadata, generative retrieval, multi-task deep ranking models, structured knowledge, embedding quality, knowledge-graph features, collaborative filtering

statistical data analysis , Machine Learning, Python, Sql, Statistical Analysis, sampling methods, R, ML modeling, causal inference methods, experimentation

Machine Learning, Nlp, Python, Deep Learning, R

Java, C, CSS, Sql, HTML, Git, Api, cloud solutions, Python, Etl, optimization modeling, Linear Programming, discrete event simulation

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

Tensorflow, Git, Pytorch, Spark, Python, Sql, git-flow