Angelo Gaddy

Background

About Angelo Gaddy

As an experienced IT professional, I have a strong background in data engineering, analytics, and computer programming. My proficiency in SQL, Java, and Python, along with my experience working with cloud platforms like Azure and Databricks, make me a great fit for this role. Additionally, my expertise in database design, query optimization, and machine learning models. I have a proven ability to communicate complex technical information to non-technical audiences, and I'm committed to staying updated on industry best practices and emerging technologies. I'm very experienced in AI-prompt engineering to design lean ways for business to increase their bottom-line.In my previous role as an IT Manufacturing Systems Engineer, I designed and wrote MES Process Standards according to best practices, achieving ongoing improvements. I also created a scanning application for the FORD Mustang using Visual Studio, VB.net, and OPC Systems, reducing waste and saving thousands of dollars. Additionally, I developed a KPI database for SSRS reports for production operations, quality control, and PC & L teams. These experiences demonstrate my ability to utilize data engineering to improve processes and increase operational efficiency.In my current role as a founder and CEO, I was responsible for coordinating and overseeing major pricing decisions and monthly financial valuations of company results. To effectively communicate complex data analytics to our non-technical stakeholders, I utilized data visualization and storytelling techniques. I presented the information in a clear, concise manner, focusing on the most relevant insights and their implications for the company's overall performance. This approach allowed me to convey the importance of data-driven decision-making and helped our team to better understand the impact of their actions on the company's success.In terms of process automation, while my background does not specifically include Robotic Process Automation (RPA) or Robotic Desktop Automation (RDA), I have experience in developing automated pipelines and systems that support data requirements for process improvement and operational efficiency metrics. This includes creating and managing automated data workflows, orchestrating and scheduling tasks, and implementing advanced data processing techniques. My background in programming languages like SQL, Java, and Python also equips me with the necessary skills to quickly adapt to RPA and RDA tools and technologies as needed.