• Developed and maintained automated systems using python for tracking inventory, resulting in a 10% reduction in inventory discrepancies.• Implement lean manufacturing principles to optimize warehouse processes, reducing cycle times by 10%.• Conducted root cause analysis of process failures resulting in reducing manual labor 15%.• Conducted time and motion studies to analyze and improve workflow, enhancing productivity by 7%.

• Paperwork: production needs for approved applications/credentials with the City of San Marcos ensuring seamless event execution .• Developed strategic plans to enhance artistic/revenue value of events considering trends, aesthetics, time of day, ticket count, etc via excel. • Negotiate contracts and payments, ensuring timely execution and adherence to event schedules.• Creating set times and social media content considering crowd expectation, location, etc. from a collection of genres such as heavy metal, EDM, indie, rock, blues, etc.• Managed all ticketing operations, including tracking sales, before and during festival with volunteers• Raised festival ticket sales by 12% first year 2022, then 25% year 2023.

• Developed a predictive model using Python and Excel to optimize inventory levels and reduce stock outs by 30%.• Conducted a comprehensive analysis of the warehouse's existing processes to identify inefficiencies and bottlenecks.• Designed and implemented a real-time dashboard in Tableau to provide visibility into key performance metrics.

• Coding a visual dashboard that decides a FLY/NO FLY decision regarding weather and drone optics using Python.• Presented flight path, weather stations, and weather information in relation to drone by using EE's sensors and real time weather updates from dedicated websites.• We implemented the drone’s sensory diagnostics from the electrical engineering team such as RPM, ultrasonic, temperature of motors, force of mount weight and heat range on dashboard.• Managed, scheduled meetings, and relayed information with Airogistic sponsor, professors, and technical advisor, my team, electrical and manufacturing engineer team leads.• Obtained more knowledge in coding using PYTHON, and MySQL.

As a research assistant, I leveraged Python to develop an algorithm filtering COVID-19 keywords by date and location across millions of tweets, performing geospatial analysis to identify discrepancies and correlations between geolocation and temporal patterns.