Sri Harsha Kasaraneni

• Project 1 : Loan Application Optimization (Financial Services Client)

Led optimization project for loan applications, achieving a 20% decrease in processing time through workflow streamlining.

Reduced manual errors by 15% through early clarification of system needs in collaborative sessions.

Performed Gap Analyses and Process Mapping to find bottlenecks, suggesting improvements saving approximately $200K in operational costs.

Utilized data analysis expertise in SQL and Advanced Excel to track performance metrics.

Worked with Development Teams and Project Managers to guarantee on-time delivery in an Agile setting.

Presented concise reports to senior leadership for stakeholder communication improvement.

Streamlined workflows by adhering to financial regulations, resulting in a 10% decrease in compliance incidents.

• Project 2: Supply Chain Transformation (Manufacturing Client)

Conducted sessions to identify issues in inventory management processes with stakeholders.

Implemented a digital tracking system, achieving a 25% reduction in inventory inaccuracies.

Collaborated with data engineers and developers in a Scrum framework while delivering comprehensive user stories.

Developed real-time Power BI dashboards for monitoring KPIs like stockouts and supplier performance.

• Project 3: CRM Enhancement & Customer Retention (E-commerce Client)

Analyzed customer journey data to pinpoint high-friction areas causing churn.

Established project scope and organized sprint backlogs, focusing on high-impact tasks for a 12% rise in repeat purchases.

Facilitated broader adoption of data-driven insights through effective communication.

Implemented proactive risk mitigation strategies resulting in consistently punctual project milestone deliveries at a 98% rate.

Engineered an analytics solution aimed at enhancing client engagement and marketing outcomes.

Conducted data preparation and cleansing using SQL and Python for large-scale datasets across multiple databases, decreasing irregularities in data by 25%.

Utilized statistical tools like pandas and NumPy to assess churn risk factors.

Developed interactive dashboards using Power BI and Tableau to streamline data visualization.

Collaborated with cross-functional teams to optimize data workflows.

Delivered weekly comprehensive reports outlining analytics insights.

Achieved a 10% decrease in user churn with data-driven recommendations.