Adoah Francis

Results-Oriented graduate student with experience in data science algorithms, ability to modify shifts to suit business requirements and strong data mining and analysis skills.

Resourceful professional with solid background in high-volume semiconductor device manufacturing through device fabrication processes.

Offering subject matter expertise in design of experiments (DOE) and material characterization. Well-versed in modifying shifts as per business requirements with strong data mining and analysis. Ability to streamline operational activities of ongoing projects through troubleshooting and cross-functional collaboration. Keen learner with proficiency in learning new skills/techniques and adapting to new environments

My experience as a Research Assistant at the University of Central Florida has equipped me with the necessary skills to participate and lead projects aimed at supporting customers in transitioning to a new technology node or ramping up a specific technology node. In my recent project, I improved the yield of semiconductor device fabrication by 60% by redesigning the photo-mask used in the photolithography process. This made the patterns very easy to be read by the e-beam writer and saved 50% of the time and money spent in fabricating devices in the research group.

I have also designed photomasks and simulated lithography processes for the fabrication of a miniaturized transistor using MATLAB and AUTOCAD software.

In addition, I have strong analytical thinking, problem-solving, and follow-up skills. I am well organized and perform tasks at a high standard with little or no supervision. My proficiency in programming languages such as Python, R, and MATLAB, as well as my skillful use of statistical data analysis and Design of Experiments, enables me to conduct data analysis to ensure that the correct conclusions are drawn from customers acquired experimental data and results reported to ASML and the customer.