Sayani Paul

Kolkata, West Bengal 0+ yrs exp 70 · Very Good

About

Quantitative Finance postgraduate (M.A. Applied Quantitative Finance, Madras School of Economics, CGPA 8.67) with hands-on experience in financial data validation, credit risk analysis, and ratings-support workflows. Built a corporate credit rating scorecard applying Moody's published rating methodology, plus an interactive Power BI dashboard visualizing the results. Proficient in Python, SQL, Power BI, and Excel, with a disciplined approach to financial data accuracy.

Skills & Expertise (32)

Excel Advanced

7.0/10

Years Exp

Python Advanced

6.5/10

Years Exp

SQL Advanced

6.5/10

Years Exp

Data visualisation Advanced

6.0/10

Years Exp

Data Cleaning Advanced

6.0/10

Years Exp

Ratio Analysis Intermediate

5.5/10

Years Exp

Time-Series Analysis Intermediate

5.5/10

Years Exp

Random Forest Intermediate

5.5/10

Years Exp

Logistic Regression Intermediate

5.5/10

Years Exp

Power BI Intermediate

5.5/10

Years Exp

Financial Statement Analysis Intermediate

5.5/10

Years Exp

Credit Risk Analytics Data Storytelling Predictive Modelling Pattern Detection BigQuery Segmentation Statistical Modelling Financial Reporting Business Intelligence Looker Studio Statistical Inference Exploratory data analysis Data Validation Clustering SHAP XGBoost Microsoft PowerPoint Eviews Seaborn Matplotlib Stata

Work Experience

Research Intern — Volatility and Risk Modelling

IIT Kharagpur

May 2025 - Jul 2025

Analysed volatility transmission across Indian IT-sector stocks and India VIX using GARCH and DCC-GARCH models in R, producing insights on sectoral risk dynamics relevant to credit and market risk monitoring. Sourced and validated financial market data from Bloomberg Terminal, enforcing data quality standards and documenting methodology in structured reports for academic and policy audiences.