Anastasia Barkova

A Machine Learning Engineer at Hymaïa since September 2024, Anastasia built her hands-on expertise as a Data Scientist / AI Engineer at Galeries Lafayette (1 year 2 months), where she led end-to-end projects covering time series forecasting (NeuralProphet), boosting models (XGBoost), LLM deployment with agents (LangChain, Phoenix) and MLOps production on GCP (Vertex AI, Cloud Run, BigQuery). She is currently on assignment at Veolia RVD while also serving as Career Manager at Hymaïa, supporting consultants' skills development.

She leads production ML assignments within Hymaïa's Data Science & ML Engineering practice: currently on assignment at Veolia RVD (Data Scientist / ML Engineer) since January 2026. She covers the full ML cycle: modeling (Time Series, Boosting, LLM), cloud deployment, MLOps and observability, with a strong interest in generative AI architectures (agents, RAG, LangChain).

Anastasia leads Hymaïa's ML & MLOps training courses (AI Fundamentals, MLOps & Machine Learning End-to-End), with 96% satisfaction and clients trained including Leboncoin. She also contributes to internal Hymaïa projects: she developed a real-time subtitling application (transcription + translation) used during the Forward Data Conference and the AI Product Day.

ML & Data Science: Scikit-learn, XGBoost, NeuralProphet, Time Series, deep learning, NLP. GenAI & LLM: LangChain, Phoenix, AI Agents, AWS Bedrock, Generative AI. MLOps: MLflow, testing, CI/CD, monitoring, reproducibility. Cloud: GCP (Vertex AI, Cloud Run, BigQuery), AWS (Bedrock, SageMaker). Languages: Python, SQL.