Aanchal Arora

• Company Overview: CBA is an Australian multinational bank. It provides a variety of financial services, including retail, business and institutional banking

Projects

Customer Loyalty Strategy

• Defined the profile of an ideal loyal customer to establish a benchmark for loyalty metrics and guide strategic decision-making
• Applied unsupervised ML techniques—K-Means, DBScan, PCA, and Isolation Forest—to identify key drivers influencing customer loyalty
• Analyzed data from ~2 million customers, uncovering critical insights for targeting and retention initiatives

Customer Onboarding Innovation

• Designed an end-to-end home loan journey map from application to settlement, integrating campaign interventions at key touchpoints
• Enabled real-time campaign tracking within onboarding timelines to optimize performance and elevate customer understanding
• Focused on boosting Net Promoter Score (NPS) and long-term retention through education-driven experiences

Cross-Functional Collaboration & Stakeholder Engagement

• Partnered with Marketing and Business teams to co-develop data-backed campaign initiatives
• Delivered actionable customer insights to stakeholders, ensuring alignment between analytics and business objectives

Advanced Data Analytics & Technical Expertise

• Conducted comprehensive data extraction, cleansing, and modeling using advanced analytical and data mining tools
• Translated complex business needs into technical documentation, enabling delivery of targeted customer communications
• Refined campaign strategies via post-campaign analysis to enhance profitability and effectiveness

Strategic Business Impact

• Presented deep-dive analyses of market trends to executive leadership, influencing key strategic decisions
• Improved customer segmentation by integrating demographic and behavioral datasets, enhancing personalized outreach

• Company Overview: Danske IT is a fully-owned subsidiary of the largest Nordic bank - Danske Bank group

Projects

• Translated business challenges into data science problems; deployed advanced statistical and analytical techniques to develop actionable solutions
• Applied descriptive and inferential statistics alongside data mining methods to solve complex operational and strategic issues
• Discovered meaningful trends and patterns in high-volume datasets; used data visualization tools (e.g., Power BI, Tableau, or Python libraries) to communicate insights effectively to stakeholders
• Coordinated across geographically dispersed teams to align business priorities and ensure timely delivery of insights
• Led a team of 7–10 testers and developers, driving project execution and fostering a collaborative, high-performance environment
• Designed and delivered detailed training resources, elevating team productivity and promoting skill development across technical roles

• Company Overview: Flipkart Private Limited is an Indian e-commerce company, headquartered in Bangalore

Projects

• Built and maintained the dashboard platform/processes and to addressed all data related needs of the organization
• Understood the Flipkart product construct and worked accordingly to ensured last mile capacity utilization remains in control, spillage control, and drives speed improvement
• Data modeling, and creation of both logical and physical data models for effective and efficient reporting and TAT on frequent requests Design
• Analyzed Returns for BAU and sale periods and did insights for reducing them by targeted approach for various drivers such as Speed, Breach etc
• Built an automated script through Python for finding out fake returns generated using parameters like customer address and hub latitude longitude, hence saving the losses which would have occurred if product got returned

• Company Overview: Opera Solutions is a global provider of advanced analytics software solutions that address the persistent problem of scaling Big Data analytics

Projects

• Had worked on different statistical tools like SAS, Excel, QlikView for data and Statistical Analysis
• Raw data processing from multiple sources in different formats such as Excel, CSV, and database files and created automated SAS scripts for the same
• Account Management: Interacted with multiple clients across the globe and made sure to get profitable outputs for Opera's business through this relationship
• Worked on linear regression and logistic regression models in QlikView to predict spend for customers based upon last 2-3 years procurement spend