Deepak Bhandari

• Gather and define business requirements, translate into user stories, BRDs, and FRDs
• Drive Agile ceremonies including sprint planning, backlog grooming, and daily standups
• Collaborate with PO, Dev & QA teams on LOS, HRMS, and Credit Risk systems
• Create RACI matrices and maintain RTMs for traceability
• Occasionally assist in data science work: data cleaning, validation, and reporting

• Performed data cleaning , imputation of missing values using Python

• Data cleaning - Fill missing values, handle noisy data, identify or remove outliers and resolve inconsistencies.

• Performed Exploratory Data Analysis and Data

Visualizations using Python, and Power BI

• Used statistical methods to analyze data and generate useful business reports.

• Deputed to American Express, Gurgaon, where I worked on internal analytics projects focusing on credit risk scoring, customer segmentation, and campaign analytics.
• Performed data cleaning, transformation, and exploratory data analysis (EDA) using Python (Pandas, NumPy).
• Built predictive machine learning models using Scikit-learn for classification problems like loan approvals and credit risk.
• Conducted feature engineering and statistical analysis to identify patterns and improve model performance.
• Created interactive Power BI dashboards for business teams to visualize campaign and credit performance KPIs.
• Collaborated with business, risk, and marketing teams to understand requirements and deliver data-driven solutions.