I will do data analysis with machine learning models using python

I am a mathematician and machine learning expert who specializes in studying climate data (historical, observed, and projected GCM/CMIP6 data). My work focuses on developing trustworthy machine learning pipelines for prediction, downscaling, and forecasting.

What I Offer

• Data cleaning, preprocessing, and exploratory analysis
• Feature engineering and variable importance analysis
• Building and comparing multiple ML models (XGBoost, SVM, ANN, Random Forest, etc.)
• Bias correction (linear, quantile mapping, delta methods, ML-based)
• Downscaling climate projections for local/regional scales
• Ensemble modeling (Arithmetic Mean, IWM, etc.)
• Forecasting future climate impacts (e.g., temperature, rainfall, yield prediction)
• Advanced visualizations (Taylor diagrams, box plots, time-series trends, spatial maps

Why Choose Me?

• Strong academic background in Mathematics and Data Science
• Experience with CMIP6, ECMWF, ERA5, and observational climate datasets
• Skilled in Python (Scikit-learn, TensorFlow, XGBoost, Pandas, Matplotlib, Seaborn)
• Research-oriented approach ideal for projects, publications, or business insights

If you have specific requirements, feel free to contact me before placing an order.