Credit Risk | Fraud Monitoring | KYC/AML | Open Banking | Mortgage Affordability | Payments Operations MI
I am a Business Analytics MSc candidate at the University of Birmingham, focused on Business Analyst and Data Analyst roles in UK banking and financial services.
My work combines business analysis discipline with hands-on analytics: requirements, process mapping, data quality checks, SQL reporting, Python analysis, KPI design, and stakeholder-ready recommendations.
- MSc Business Analytics, University of Birmingham, 2025-2026
- Based in Birmingham, UK, open to roles across the UK
- Target roles: Business Analyst, Data Analyst, Finance Analyst, Risk Analyst
- Domain focus: retail banking, credit risk, financial crime, KYC/AML, payments, customer analytics
- Tools: SQL, Python, Power BI, Excel, Tableau, GitHub, Jupyter
- Email: sanketwork9@gmail.com
| Project | Banking Area | What It Demonstrates | Tools |
|---|---|---|---|
| UK Bank Credit Risk Scorecard | Credit risk | Explainable scorecard, approve/refer/decline logic, risk-band MI, lending policy recommendations | Python, SQL, BA docs |
| UK Banking Fraud Monitoring Dashboard | Fraud and financial crime | Transaction monitoring rules, alert prioritisation, fraud KPI summaries, investigation queue | Python, SQL, MI reporting |
| KYC AML Customer Risk Assessment | KYC/AML | Customer risk scoring, mandatory CDD checks, enhanced due diligence queue, BRD, process map, user stories | SQL, Python, BA artefacts |
| Open Banking Customer Churn Analysis | Customer analytics | Churn scoring, retention queue, value-at-risk analysis, customer segment MI | Python, SQL, dashboard outputs |
| UK Mortgage Affordability Analysis | Mortgage lending | Affordability stress testing, LTV bands, pass/refer/decline outcomes, manual underwriting queue | Python, SQL, policy docs |
| Faster Payments Operations MI | Payments operations | SLA monitoring, exception root-cause analysis, failed payment rates, operations MI action plan | Python, SQL, KPI docs |
| Project | Area | What It Demonstrates | Tools |
|---|---|---|---|
| Customer Personality Marketing Analytics | Marketing analytics | Kaggle customer segmentation, campaign response, customer value, product spend, and targeting recommendations | Python, SQL, dashboard outputs |
Business Analysis
- Business requirements documentation
- User stories and acceptance criteria
- Process mapping and control design
- KPI definition and stakeholder reporting
- Data quality and operational MI
Data Analysis
- SQL analysis and reporting
- Python data cleaning and feature engineering
- Exploratory analysis and segmentation
- Risk scoring and rule-based decisioning
- Dashboard-ready datasets and summaries
Banking Domains
- Credit risk and lending policy
- Fraud monitoring and financial crime operations
- KYC/AML customer due diligence
- Mortgage affordability and stress testing
- Faster Payments operations and SLA monitoring
- Customer churn and retention analytics
Languages and Querying
Analytics and BI
- Delivered marketing analytics and business intelligence work across commercial and consulting contexts.
- Built banking-focused analytics projects covering risk, financial crime, lending, payments, and customer insight.
- Experienced in converting messy data into practical recommendations for stakeholders.
- 6+ years of cross-industry analytics experience across India and the UK.