Kriti Bansal

• Implemented a secure payment wire transfer system with real-time updates in ISO formats for settlement agents like CITI and SCB by 50%.
• Enhanced operational efficiency by integrating notifications for credit, debit, and end-of-day wire statements from partner banks, supporting ISO PAIN and CAMT formats by 25%.
• Enabled proactive client communication with real-time notifications, improving predictability and transparency in payment processing.
• Analyzed 40+ KPIs to build standardized framework and automated infrastructure for client portfolio benchmarking.
• Collaborated with Innovation team to create user personas, customer journeys and service blueprints for new product exploration and sales engagements.

• Implemented a comprehensive solution for the client digital platform, a mobile telematics solution which increased the efficiency by 30% leading to higher per minute client charges.
• Worked on building a random forest-based forecast model to predict daily sales and customer loyalty across 24 regions, using a dataset consisting of 15M historical records.
• Built a proof-of-concept system in Alteryx, which achieved an accuracy of 93%.
• Deployed the model to production by building a streaming big data pipeline with Apache Hadoop, Spark 2.1.0, HDFS, Impala and Oracle SQL as a datastore. Used Apache Oozie in conjunction with Unix Shell Scripts to automate the job pipeline.
• Designed and created test scripts to address issues such as error analysis, load testing and regression testing to verify software issues.

• Built an end-to-end Kafka based pipeline to consume, process and analyze all online orders generated through the Market America website.
• Integrated Lenses to perform real time Data Ops and to streamline the data flow and experimented with using Apache NiFi and StreamSets.
• Built a Flask based automatic notification service to streamline Email communications, now responsible for all communications across the supply chain and critical to its functioning.

• Extracted, interpreted & analyzed sales data for brands such as John Varvatos, Coach, Salesforce to identify key metrics & transform raw data into meaningful information related to retail customers, marketing and buying trends.

• Generated category-based recommendations using the above mentioned data and built visually impactful live dashboards to display recommendations for popular products using Excel, Tableau, pivot tables and VLOOKUPs.