Data professional with over 7 years of expertise in data science and machine learning in production. Known for solving complex problems and activating data within agreed time frames. Skilled at building and leading high-performing teams while effectively communicating results to both technical and non-technical stakeholders. Recognized for strategic thinking, reliability, and cultivating results-oriented environments.
Business requirements gathering
Complex Problem-solving
Cross-cultural communication
Organizational agility
Creative thinking
Team building
Public speaking
Reliability
Data Science & Analytics: Python, R, SQL, scikit-learn, PyTorch, TensorFlow, XGBoost, CatBoost. MLOps & AI: MLflow, Airflow, CI/CD, containerization (Docker, Kubernetes); LLMs (Langchain, OpenAI, LlamaIndex), Hugging Face (NLP).
Big Data & Cloud: AWS/GCP, Data Bricks, Spark, PySpark, Hadoop; DBT, Apache Kafka.
Methodologies: Kanban, Agile Development, Flat Hierarchy Leadership.