- Analyzing and reporting of pricing optimization, pricing guidance, and quoting performance for the Central Business Operations & Planning team.- Developed automated Python scripts to evaluate and validate pricing guidance model, reducing analysis time by 70% and enhancing incident reporting efficiency.- Designed and implemented interactive PowerBI dashboards with live Snowflake connections to track 2.3 million quotes across 190K products, revealing pricing trends & workflow performance.- Implement innovative KPIs and metrics, enabling leadership team to make informed decisions on quoting processes, revenue performance and business operations.

- Migrated research publications, patents, and other artifacts from various scholarly portals to university portal- Performed extraction, cleaning, transformations, and analytical operations like fuzzy name match on structured and unstructured data using SQL, R and Python- Improved traffic of university’s directory website by 15% using text mining and sentiment analytics on Google analytics data

- A collaborative internship by Illinois Institute of Technology, Chicago and GlobalShala - Reduced ad cost by at least 30% using analytical approaches including Customer segmentation (K-Means) and A/B testing

Project: Big Data Analytics Project to predict revenue for non-retail loan based products (Finance Domain)- Won INSTA award for outstanding performance and value addition to Infosys big data analytics track- Awarded “Skill More. Win More Reward” by Infosys for my proactive learning and upskilling- Contributed as a consultant on big data analytical projects in the finance (CITI Bank) and retail (PEPSICO) domains to understand business requirements and effective implementation using tools like Hadoop and MapReduce- Analyzed complex End-to-End business flow of huge transactional datasets with millions of rows and implemented 3 KPIs and customizable Tableau report for end users to make key financial decisions- Realized 15% enhancement in loan distribution system by implementing decision tree to segment loan buckets based on user metrics and reduced computation time by 40% with help of Apache spark parallelization- Supervised a Quality Assurance team of 3 and achieved over 95% scenario coverage with zero high-priority issues in UAT- Representing the scrum team in client demo calls and presentations at the end of every sprint to provide walkthrough of the new functionalities and business logics to the end users (Citibank). - Introduced Jira-based dashboards to track and streamline the gap between development team, QA team and business users in the AGILE ecosystem.

- Content Management System using Drupal Tools- - Designed and developed a web forum for students and faculties to interact and share study materials.- The forum allows different roles such as admin, faculty and students. Each role will be able to perform actions based on the permissions enabled for each role. Additionally, there are functionalities to back up data and block spam users.