Freelance Computational Data Science Expert (Python & SQL)

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 with deep understanding of algorithms, methods, and their practical applications. Proficient in SQL and database operations for data manipulation and analysis. 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 proficiency. Ready to learn new methods, able to switch between tasks and topics quickly. Able to work with challenging, complex guidelines.

Design original computational data science problems simulating real-world analytical workflows. Create problems requiring Python programming for data science tasks. Ensure problems are computationally intensive and cannot be solved manually within reasonable timeframes. Develop problems requiring non-trivial reasoning chains in data processing, statistical analysis, feature engineering, predictive modeling, and insight extraction. 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 requiring scalable computational approaches. Verify solutions using Python with standard data science libraries and statistical methods. Document problem statements clearly with realistic business contexts and provide verified correct answers.