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Sangram Bhuyan

@sangrambhuyan

I build credit risk models and BI dashboards that improve lending decisions and reporting speed.

India
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What I'm looking for

I'm looking for a data analytics, data science, or machine learning role where I can build predictive models, automate data pipelines, create decision-focused dashboards, and translate risk or operational data into actionable business recommendations.

At Lince Soft Solutions, I build scalable credit-risk analytics pipelines using Python, SQL, PySpark, and Snowflake for high-volume lending data.

I've developed PD, LGD, and EAD models using Logistic Regression, XGBoost, Random Forest, and Decision Trees. By automating scoring through MLflow and FastAPI and monitoring portfolio stability in Power BI, I improved decision efficiency by 25% and model sensitivity by 15%.

I also create Tableau and Power BI dashboards that turn credit-risk data into actionable insights, contributing to a 10% reduction in loan defaults and an 18% improvement in loan approval efficiency.

My work spans data validation, feature engineering, ETL pipelines, model validation, data lineage, and stakeholder reporting. I've also applied SAS analytics to patient readmission prediction and completed data science and Power BI simulations with British Airways and PwC Switzerland.

Experience

Work history, roles, and key accomplishments

Education

Degrees, certifications, and relevant coursework

BP

BPUT

Bachelor of Technology, Electrical and Electronics Engineering

2012 - 2016

Grade: 8.2 CGPA

Pursued a Bachelor of Technology in Electrical and Electronics Engineering, achieving a CGPA of 8.2.

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