Freelance Data Science Expert (Python & SQL) / AI Trainer

Master’s or PhD Degree in Data Science, Statistics, Mathematics, Computer Science, or related quantitative field. At least 5 years of hands-on data science experience with proven business impact. Portfolio of completed projects and publications showcasing real-world problem-solving. Proficient in python programming for data science (pandas, numpy, scipy, scikit-learn, statsmodels). Expert in statistical analysis and machine learning. Proficient in SQL and database operations. Experience with GenAI technologies (LLMs, RAG, prompt engineering, vector databases). Good understanding of MLOps practices and model deployment workflows. Knowledge of modern frameworks (TensorFlow, PyTorch, LangChain). Advanced (C1) or above English level. Ready to learn new methods, able to switch between tasks and topics quickly.

Design original computational data science problems simulating real-world analytical workflows. Create problems requiring Python programming to solve. Ensure problems are computationally intensive. Develop problems requiring non-trivial reasoning chains. Create deterministic problems with reproducible answers. Base problems on real business challenges. Design end-to-end problems spanning the complete data science pipeline. Incorporate big data processing scenarios. Verify solutions using Python and statistical methods. Document problem statements clearly and provide verified correct answers.