Jayesh Jain

- Automated invoice approval workflows and vendor auditing using SQL, Python, and Excel, reducing processing time by 40%. - Led cross-functional workflow improvements, increasing team efficiency by 30% and reducing operational bottlenecks. - Headed 360-degree carrier analysis by gathering pain points from internal stakeholders, translating them into data-backed insights, and negotiating improvements with third-party logistics providers through impactful presentations.

-Built real-time KPI dashboards in SQL and Python, cutting manual reporting hours by 30+ hours weekly. -Optimised data architecture to improve CX analytics transparency, reducing data redundancies by 25%. And support strategic decision-making across the CX team and key stakeholders. -Conceptualised and launched an AI-supported engine to automate claims processing across 1,000+ service channels, improving operational accuracy.

- Spearheaded the Feature Adoption project, driving €175K+ SaaS revenue by identifying sellable features and developing real-time analytics dashboards in SQL, BigQuery, and Power BI. - Translated operational needs into technical solutions by integrating AI, internal systems and designing APIs to support data-driven decision making. - Provided actionable insights by transforming complex data into clear, accessible visualizations, improving customer engagement and reducing support workload by 10%.

- Owned data stewardship for high-value clients ($100K+ revenue), automating risk models to increase profitability by $5-7M. - Identified and resolved long-standing data issues, improving data reliability by 25% in risk analysis. - Developed data-driven product modules using Python, SQL, Pyspark, and worked with big data platforms (Yellowbrick, Cornerstone).

- Part of software development team for organizational Delivery Products within Wipro. - Developed business intelligence solutions for enterprise clients using SQL, MEAN stack, and Microsoft Azure DevOps.