Computer Science graduate with three years’ experience introducing products and services into new markets using consultative and collaborative solution-based approach across multiple industries. Passionate about future-proofing businesses and want to continue doing this through the IT realm.
• Part of the COVID-19 vaccination in Ghana, uncovering customers’ pain points and proposing holistic solutions tailored to delivering a delightful customer experience
• Coordinated activities of call centers and provided training to improve skills.
• Observed employee performance and provided valuable feedback using online performance evaluation software.
• Created work schedules to provide quality service to customers as well as maintain employee satisfaction.
• Designed and implemented a voucher generator for payment of fees online.
• Suggested ways of keeping the GIMPA website up to date with latest information.
• Took part in troubleshooting of technical issues to solve problems quickly and efficiently.
Competent in programming languages like Python, Java, and C that are frequently used in AI development
Expertise with AI-focused programming languages such as PyTorch, Keras, and TensorFlow
Experience with machine learning algorithms, deep learning, neural networks, and natural language processing (NLP)
Data analysis and visualization using tools like Pandas, NumPy, and Matplotlib Proficient in working with databases, both SQL (eg, MySQL, PostgreSQL) and NoSQL (eg, MongoDB, Cassandra)
Created a hand-drawn digit recognition system and an environmental sensory recognition system using a Convolutional Neural Network.
With the goal of creating a reliable system for hand-drawn digit recognition, I created a Convolutional Neural Network (CNN) that can categorize handwritten digits with a high degree of accuracy. I also used my knowledge to build an environmental sensory network, interpreting and analyzing data from several environmental sensors using machine learning methods. Through these projects, I was able to show that I was proficient in creating and putting into practice AI solutions for data analysis and picture identification tasks in the context of environmental monitoring.