While on-site, I was tasked with installing, configuring, and implementing information and data points into an ArcGIS site map. This map was utilized by quality engineers and superintendents to track both the quality and quantity of the product being installed. To streamline this process, SQL codes were developed. These codes utilized manually provided data and information gathered from Trimble GPS systems. They automated quantity and quality analysis by comparing infield measurements to contract-defined tolerances, significantly reducing the time spent by field engineers as it automatically identified issues.Upon completion of this task, I conducted an analysis of additional site processes. I collaborated with superintendents and other field engineers to identify areas where SQL codes could be further implemented, enhancing the tracking and automation of quantity and quality analysis and subsequently increasing project efficiency.
During my tenure, I provided mechanical support, repaired components, and authored a user manual guiding craft professionals on the operation of an autonomous staging robot. This innovation resulted in a daily increase of at least 10% in staging quantities. Additionally, I developed a Python code that extracted geotagged information from drone images, marking their locations on a site map. This feature facilitated easy access and orientation for project staff when viewing the map.
Focused on tracking project performance by analyzing the successful completion of short- and long-term project requirements, primarily related to quantity calculations and subcontractor specifications. These analyses were crucial for forecasting by the project manager. I was also given the opportunity to work in quality control, where I learned the processes associated with oil content testing of completed work to ensure it met the specifications provided by the Department of Transportation.
Additionally, I was responsible for estimating the cost and quantities of work by analyzing labor, material, and time requirements. This involved evaluating previous project information, construction plans, specifications, and other relevant documents. Part of this process included material take-off calculations, which demanded clear communication, a comprehensive understanding of the project, and precise working. These calculations also necessitated the use and manipulation of software such as PlanSwift, AGTEK, and in-field measurements to gather relevant data required by the lead estimator.
During my time, I conducted data analysis and entry for various projects related to patient evaluation pre and post-surgery, as well as reverse shoulder replacement surgical analysis. This work involved digitizing pre and post-surgery documents intended for analysis by Dr. Ashish Gupta. Using this data,
Excel was implemented to identify trends in recovery time and range of motion progression in patients. These trends were then used to provide more accurate predictions and recommendations for recovery based on patient injuries.
Spearheaded the creation of a virtual library containing 3D models of arthroplasty used in reverse shoulder replacements. The purpose was to support the QUASR team's research led by Dr. Ashish Gupta. In this project, I utilized a 3D laser scanner to capture an array of data points, which were then used to generate a 3D CAD model of the RSA arthroplasty. This experience allowed me to work with advanced equipment, providing an initial exposure to the professional world and facilitating the development of my organizational and communication skills.
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