Sangram Bhuyan
@sangrambhuyan
I build credit risk models and BI dashboards that improve lending decisions and reporting speed.
What I'm looking for
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
Data Analyst
Lince Soft Solutions Pvt. Ltd.
Oct 2021 - Present (4 years 10 months)
Developed predictive models for credit risk and healthcare analytics, automated risk scoring pipelines, and built interactive dashboards to improve decision efficiency and reduce loan defaults.
Education
Degrees, certifications, and relevant coursework
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.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Job categories
Skills
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