Cherishma Chowdary Potluri

•Drove competitive analysis to guide positioning and inform GTM strategy across metro edge markets •Shaped pricing and margin strategy for the Access & Aggregation portfolio, improving product profitability •Partnered with sales and product teams to prepare for strategic customer briefings, translating technical capabilities into clear business value •Developed sales enablement content and launch collateral to accelerate adoption of next-gen access solutions

• Developed product requirements and created mock wireframes to enhance product features by translating insights from a competitive analysis into actionable KPIs and enhancements for a security tool. • Refined product strategy and automated key workflows through cross-functional collaboration with various stakeholders to align on strategic goals, leading to an increase in product adoption and revenue potential. • Optimized operational processes by partnering with various business operation teams to review procedures and maintain accurate product data, resulting in improved data integrity and more streamlined processes.

Course Assistant for Statistical Analysis & Time Series (Spring’23) and Credit Risk & Derivatives (Fall’24) taught by Prof.Agostino Capponi

•Streamlined business strategy by identifying product requirements and designing a process automation tool using Python and Postman, which significantly reduced project turnaround time and improved operational efficiency. •Conducted market research and analyzed industry trends in Generative AI for various sectors to deliver strategic recommendations that would drive AI integration into their product strategies.

• Helped refine technical product strategy for lane management systems through cross-functional collaboration with product management and engineering teams, with SQL-based data analysis. • Reduced analysis time by using Java-based automation and data storytelling, partnering with product managers for root cause analysis (RCA) during escalations and aligning on strategic prioritization.

• Led the development of a technical product by creating an inflow prediction tool, saving 35+ hours of effort for senior management since its launch by optimizing resource allocation. • Engineered a Machine Learning model with 85% prediction accuracy by leveraging AI strategy, showcasing negotiation and strategic while also delivering technical presentations to senior leadership.

Worked on Image Processing techniques suitable for supermarket planograms.

• Led a dynamic team to facilitate international internships for students, aligning with the United Nations’ Sustainable Development Goals. • Organized impactful cross-cultural experiences that fostered both professional and personal growth for participants. • Managed logistics and established partnerships to ensure seamless internship experiences abroad, enhancing global employability.

Coursework : Product Management Operations Strategy Game Theoretic Business Strategy Managerial Negotiations Behavioral Economics & Decision Making Service Operations Management

A collaborative graduate program from Columbia Business School and Columbia Engineering, emphasizing the fusion of management and engineering methodologies to address challenges within intricate systems. Coursework: Performance Objectives and Key Results Using Data Operations Consulting Optimization Models And Methods Probability Statistics And Simulation Stochastic Modelling Visualization and Storytelling with Data

Coursework: Data Structures & Algorithms Cyber Security Data Visualization Software Engineering Virtualization Parallel & Distributed Computing Object Oriented Programming - Python, Java, C++