ASHISH KATTA

• I have worked under Dr. Jiang Beilei as a TA for Data Structures and Algorithms.
• I have conducted labs. In class, the conceptual doubts of students were cleared.

• I have worked under Dr. Mark Albert as an RA and wrote a thesis under him.

Java Backend Developer – Company Name.

Clients: Procter & Gamble, Fidelity Investments.

• Automated and optimized the data update process by developing backend solutions using Java, Spring Boot, and MS SQL Server, reducing manual data mapping efforts, and improving efficiency.
• Designed and implemented APIs for seamless integration with Power BI dashboards, enabling real-time data analysis and reporting on trends based on location, suppliers, vendors, and dates.
• Collaborated closely with clients to understand project requirements, create technical proposals, and ensure on-time delivery of backend features by coordinating with on-site and internal teams, including data processing and analytics teams.
• Scheduled and facilitated meetings with two cross-functional teams via Microsoft Teams and Zoom to standardize processes, develop reusable modules, and ensure consistent data pipelines.
• Conducted a deep dive and exploratory analysis of client data, integrating insights into backend systems to support key business metrics, and improve data accessibility for analytics.
• Debugged, optimized, and documented backend solutions to ensure accurate calculations of KPIs, enabling clients to estimate market performance effectively.
• Analyzed discrepancies in survey data, and implemented regression models and tree-based algorithms to generate actionable insights, while documenting processes using Power BI and backend services.

• I worked with a Team of 5 members (2 developers, 1 spokesperson, 1 Designer, 1 Electronics Specialist)
• My main role in the project is a developer and I was given additional responsibility as a team leader based on my interdisciplinary approach towards the project
• Constructed a motion robot that moves based on the voice commands given in a mobile application
• We used HC-05 Bluetooth module to communicate with the Automotive Bot
• Designed data analytics solution using Python for the unauthorized access points for wireless connections by analyzing publicly available authorized and unauthorized access points data
• Differentiated the authorized and unauthorized users Based on their round-trip time (RTT) data
• Implemented Logistic regression, KNN, SVM algorithms on data to identify the best fit that yield higher accuracy