Dhanesh B B

I am a data scientist with an economics background who builds end-to-end machine learning pipelines and large-scale data processing workflows using Python and SQL. I have delivered production-focused models for default prediction, lead scoring, and demand forecasting, working with datasets up to 58.4M records.

I publish open-source tools to accelerate EDA and profiling (two PyPI packages) and apply rigorous model validation, feature engineering, and explainability (SHAP) to improve business outcomes. My projects have produced measurable gains: improved ROC-AUC, reduced memory usage, fewer false positives, and significant time savings for stakeholders.

I hold certifications from IABAC and NASSCOM, a Master's in Economics, and hands-on consulting experience delivering POCs and client solutions. I seek opportunities where I can apply scalable data solutions, strong engineering practices, and domain insight to drive product and business impact.