At M&L Consulting Pvt. Ltd., I analyzed operational problems with business, operations, and technology stakeholders, then translated requirements into analytical solutions. I used SQL, Python, and Advanced Excel to explore and clean data, and maintained Power BI dashboards for operational KPIs and SLA compliance.
I also conducted root-cause analysis of recurring operational and client system incidents, identifying bottleneck patterns linked to issue-resolution turnaround time. I delivered ad-hoc and recurring executive reports.
At M&L Consulting Pvt. Ltd., I worked on database management, backend data processing, and reporting logic for the enterprise PPMS platform serving institutional clients including Asian Development Bank (ADB), SMEC, and PWD. I optimized SQL queries and data pipelines tracking financial disbursements, milestones, and project performance.
In my banking credit-risk project, I analyzed more than 32,500 retail loan applications and built class-balanced Logistic Regression and Random Forest models, achieving 0.92+ ROC-AUC. I also presented policy recommendations through a Power BI dashboard and used SQL, Python, and Advanced Excel for customer retention, churn, and cohort analytics.
