SHANMUKA GADDAM

• Managed inventory to ensure optimal stock levels, minimizing overstock and out-of-stock situations.
• Collaborated with team members to achieve cohesive and efficient store environment.
• Processed transactions accurately while maintaining high level of customer service.
• Assisted customers in making informed decisions by offering detailed product knowledge and comparisons.

• Monitored and ensured smooth execution of all data batches, demonstrating keen attention to detail and commitment to maintaining high-quality standards.

• Reduced escalations by 50% by implementing proactive measures in monitoring and management of customer complaints; led team of 5 in root cause analysis and implementation of corrective actions.

• Conducted comprehensive quality assessments on tickets handled, consistently delivering accurate and efficient solutions to customer inquiries and concerns.

• Utilized Jira to effectively plan and track units of work, including bug fixes, feature implementations, and task completion, ensuring optimal project management and timely delivery.

• Leveraged Confluence to maintain extensive online documentation repository, including operating procedures, meeting minutes, and knowledge bases, facilitating streamlined collaboration and knowledge sharing within team.

Coursework: Design of Fabrication Process for Capacitive MEMS Accelerometer , 2023

• Designed a fabrication process for a capacitive MEMS accelerometer as part of coursework.
• Conducted research on MEMS microfabrication processes such as photolithography, etching(DRIE), deposition (e.g., physical vapor deposition, chemical vapor deposition), and bonding techniques.
• Created detailed process flowcharts and sequences for fabrication.
• Presented final design in a comprehensive report.

Final Year Project : IoT-based alcohol detection accident-avoidance system.

• Integrated an alcohol detection sensor to monitor the driver's alcohol levels in real-time.
• Implemented a seatbelt sensor to detect whether the driver is wearing a seatbelt.
• Utilized RFID card technology for driver identification and authentication.
• Incorporated an ESP32 module for connectivity to the internet and communication with authorities.
• Developed algorithms to analyze sensor data and trigger appropriate responses, such as alerts or interventions.
• Designed the system architecture to facilitate seamless communication between sensors, the ESP32 module, and authorities.