🏢 Process Risk Analyst @ Aditya Birla Finance Ltd., Bengaluru — 3 years in NBFC credit risk analytics, MIS reporting, and portfolio monitoring for unsecured lending books.
📊 I turn raw portfolio data into risk decisions — building Python & SQL pipelines that cut manual reporting effort by 40–50%, and Power BI dashboards that give leadership real-time visibility into NPA trends, delinquency movement, and collection efficiency.
🧩 What I work on daily:
- Roll-forward & vintage analysis · DPD bucket tracking · Stage 1/2/3 monitoring under IND AS 109
- NPA/GNPA reports · SMA 0/1/2 classification · Slippage & cure rate analysis
- ECL modelling inputs (PD / LGD / EAD) · Early warning signal (EWS) frameworks
- MIS dashboards in Power BI (DAX) · Advanced Excel models · Management decks for senior leadership
🌱 Currently deepening: Predictive risk modelling · Scorecard development · Data engineering for scalable reporting infrastructure
🤝 Open to collaborate on: Risk analytics · Credit analytics · BFSI data projects · Financial data storytelling · Python automation for reporting
Programming & Data
BI & Visualisation
Tools & Environment
Python · Scikit-learn · Pandas · Tableau
Built logistic regression and decision tree classifiers achieving 78%+ accuracy. Applied SMOTE to handle class imbalance and designed an interactive Tableau dashboard segmenting patients by risk tier to support clinical prioritisation.
Python · Seaborn · Tableau · Excel
Analysed 1,000+ service records to engineer KPIs for closure rate, escalation frequency, and service delays — surfacing CX performance gaps through interactive dashboards.
- 📜 Data Science with Python — Simplilearn
- 📜 Machine Learning Advanced — Simplilearn
- 📜 Tableau Desktop Specialist — Simplilearn
- 📜 SQL & Business Analytics with Excel — Simplilearn
- 📜 Python Programming — ICT Academy, IIT Kanpur
"Good risk management starts with visibility — knowing what's moving, why it's moving, and how fast."