Clare-Joyce Fomonyuy N.

Clare-Joyce Fomonyuy N. has a diverse range of work experience in various roles.

Starting in 2015, Clare-Joyce worked as a Summer Engineering Intern at the Cameroon Development Corporation's Rubber Factory Mukonje. During this time, they gained hands-on experience in power control methods and starting methods used in the factory.

In 2016, Clare-Joyce continued their engineering internships as a Summer Engineering Intern at The HEAVY FUEL OIL (HFO) Limbe Thermal Power Plant (L.P.P). Clare-Joyce Fomonyuy successfully contributed to addressing the integral wind-up problem with the Automatic Voltage Regulator in GENSET 1, improving the excitation current in the GENSET. This internship also provided their with valuable knowledge of energy systems, including generation, transmission, and distribution.

Moving forward to 2018, Clare-Joyce joined New Generation Technologies Limited as a Professional Intern. Here, they designed and implemented a prototype for a smart water management and distribution system. Additionally, they coordinated the "Bamboo" project, which aimed to create a functioning prototype of a Self-Driving Bamboo Car. During this internship, Clare-Joyce also gained proficiency in Python programming.

In the same year, Clare-Joyce worked as a Software Developer at Adipster Tech Ltd. Clare-Joyce Fomonyuy mentored young developers in various courses, generating over $5000 in revenues. Additionally, they developed models such as a dog breed classifier model with 74% accuracy, a customer segmentation model with 86% accuracy, and an AI model for Flower Species Identification from Images.

In 2019, Clare-Joyce joined Udacity as an Introduction to Programming Mentor and Reviewer. Clare-Joyce Fomonyuy reviewed and mentored over 200 projects from students enrolled in the Intro to Programming Nanodegree, providing constructive feedback and suggestions for improvement.

In 2020, Clare-Joyce became a Graduate Teaching Assistant at Carnegie Mellon University Africa. Clare-Joyce Fomonyuy assisted students during office hours to enhance their understanding of course concepts and performed initial grading of assignments.

Currently, Clare-Joyce is working at nLine as a Data Analyst. Their responsibilities include improving energy reliability by predicting the number of meters affected by power outages. Clare-Joyce Fomonyuy has also worked on scraping Accra map tiles from Google maps to obtain a dataset of Accra buildings and their geolocations. Clare-Joyce has built a machine learning model to estimate the number of people (meters) affected by power outages and is currently matching the surveyed meter area with building areas to improve model accuracy and study the relationship between buildings and meters.

Overall, Clare-Joyce Fomonyuy N. has a strong background in engineering, data analysis, mentoring, and teaching, with a particular focus on energy systems and machine learning.

Clare-Joyce Fomonyuy N. has an education history that includes a Bachelor of Engineering (BE) in Electrical and Electronics Engineering from the University of Buea, obtained from 2013 to 2017. Additionally, they obtained a Master of Science in Electrical and Computer Engineering (MSECE) with a focus on Energy Systems and Applied Machine Learning from Carnegie Mellon University Africa, completed between 2019 and 2020.

In terms of additional certifications, Clare-Joyce Fomonyuy N. has achieved the following: AI Programming with Python Nanodegree and Programming for Data Science with Python Nanodegree from Udacity in November 2021; Data Analysis with R Programming from Coursera | Google in October 2021; Predictive Analytics for Business from Udacity in October 2021; California Sexual Harassment and Abusive Conduct Prevention for Non-Supervisors from EasyLlama - HR & Compliance Training For Modern Teams in September 2021; McGILL PERSONAL FINANCE ESSENTIALS from McGill University - Desautels Faculty of Management in September 2021; Analyze Data to Answer Questions, Prepare Data for Exploration, Process Data from Dirty to Clean, and Ask Questions to Make Data-Driven Decisions from Coursera | Google between May and July 2021; Certificate of Completion - Python and Data Visualization Bootcamp from ShapeAI in April 2021; Foundations: Data, Data, Everywhere from Coursera | Google in April 2021; Bertelsmann Technology Scholarship Program from Udacity in March 2021; a Master of Science in Electrical and Computer Engineering from Carnegie Mellon University in December 2020; Work Smarter, Not Harder: Time Management for Personal & Professional Productivity from Coursera in November 2020; Exploratory Data Analysis from Coursera in October 2020; Crash Course on Python by Google from Coursera in October 2020; Intermediate Pandas Python Library for Data Science from Coursera Course Certificates in October 2020; Certificate of Participation: AWS Fundamental course in the AWS Machine Learning from Udacity in August 2020; and R 101 from Cognitive Class in June 2020.