In my project and lab classes I have worked in groups to produce tangible results. I have improved my problem solving and communication skills.
In the University mechanical engineering senior capstone course I worked in a group to develop a novel modular baby gate design for our sponsor Kids in Danger (KID). The design would ensure the gate would always be setup correctly to withstand the industry standard 30lbf push out test to be certified for use at the top of stairs. I investigated the problem and background, researched and interviewed stakeholders to develop requirements and specifications, generated and evaluated design concepts, performed engineering and risk analysis, and finally virtually validated and verified the final design before presenting to our sponsor and primary stakeholders. I learned how to adapt to problems as they arose, and I enjoyed working on a dynamic fast-paced project. Due to Covid-19 we were unable to fabricate and physically test our baby gate design. The final report can be seen here.
In this mechanical engineering project class I worked in a group to design and manufacture a mechatronic marble sorter that places marbles in different bins based on their color. I primarily validated the sorter's range and speed using ADAMS software. I also designed the 3D printed cup and assisted in the manufacturing and coding portions of the project. I enjoyed working on a multi-disciplinary project that allowed me to fully utilize my diverse background including rapid prototyping, electrical engineering, and manufacturing.
In the higher level mechanical engineering lab class I worked in a group to run detailed experiments for a fictional clients then presented our findings in presentations and reports. My team and I had to develop the experimental procedure, run the experiment, interpret the data, and present the findings. I enjoyed unearthing important information from large data sets to give insightful recommendations. I have attached one report on determining multimedia device storage using atomic force microscopy here.
In this applied business course I learned how to implement advanced data analytics and decision models to solve complex business problems. I used R software to clean and analyze "Big Data" into useful information to support business decisions. In my favorite class project I analyzed the stats of all 801 Pokemon and developed graphics and different predictive models to determine the best method of identifying legendary Pokemon. The full report can be seen here.