AAKSHI SHARMA

• Customer Credit Profiling: Led team in addressing overdue payment challenges by establishing customer credit profiling system. Utilized internal and external data sources to develop detailed customer profiles and created robust features and classification models to accurately assess customer creditworthiness. Augmented these efforts with dynamic dashboard displaying historical sales, returns, and overdue trends, facilitating data-driven decisions for adjusting credit limits.
• Cross Sell: Managed team of 5 analysts to conduct comprehensive analysis to pinpoint revenue enhancement opportunities, leveraging Apriori algorithm for cross-selling initiatives, resulting in significant impact of over 10 million dollars. Streamlined and automated entire process, showcasing impact through dynamic dashboard interface.
• Customer Churn: Spearheaded strategic project aimed at proactively identifying high-churn geographies, predicting high-risk customer portfolio segments within these regions, and implementing targeted interventions for customer retention generating revenue impact of $5.77 Million per quarter. Automated adoption of new countries and created impact measurement dashboard where sales employee could interact and target their goals.

• · Chargeback Model: Created a real time model predicting transactions which would end in chargeback with 90% precision and 85% recall leading to savings of $9.6M. Managed end to end process from design to final deployment
• · Driver Arrear Reduction: Worked on reducing driver arrears by 14bps by creating risk rules based on statistical analysis and AB experimentation
• · Risk Fraud Management Tool: Enhanced fraud management tool by developing rapid evaluation functionality and rule anomaly alert system, saving $13M annually.

• Fraud Management for IN portfolio – Working as owner of IN portfolio and responsible for end-to-end management of frauds, losses and decline for India

▪ Designed and created dashboards to track key KPI's for India

▪ Created strategies and risk rules to identify and restrict frauds for PayPal India using statistical analysis rules and monitoring for fraud patterns

▪ Responsible for communication with global stakeholders and risk vetting of products being launched in IN

• Incentive Gaming Control - Implemented controls on Incentive Abuse for first time in Paypal. Created algorithm to tag users as abuser based on their behavioral and transaction patterns using velocity counters and machine learning classifiers. Saved ~$4M and received recognition for the same

• · Product Classification (E-commerce, Cloud): Developed machine learning classification model to classify 3M SKUs into pre-defined product hierarchy with ~95% accuracy.
• · Theme Detection and Sentiment Analysis (Retail, NLP): Built NLP tool to detect trending themes in customer survey for an e-commerce and helped the clients to identify underlying sentiments in survey open-ends.
• · Customer Segmentation (Retail, Big Data):Customer Segmentation (Retail, Big Data) - Built unified customer profile using demographic segmentation and behavioral clustering and subsequently derived customer segments

▪ Drove integration of these segments into product marketing strategy

▪ Performed Reactivation Analysis to identify and bring back existing but dormant customers to lift revenue

• · Dashboarding: Designed and developed multiple dashboards for leading retailer tracking customer experience metrics

▪ Identified key drivers affecting customer satisfaction/NPS

▪ Showcased these KPIs at various levels in Tableau dashboard and enabled user to make decisions based on same