About
70+
Projects
Completed
5
Years of
experience
300+
Good
Clients
400+
Customer
reviews
Skills
2018 - 2022
Software Engineer -Bootcamp
2020 - 2023
Education - Accra Technical University
Computer Science And Engineering
WOrk Experienced
2024- present
Machine Learning Engineer @ Kella'stech
2023- 2024
Application Support Engineer @ Nalo Solutions Limited GH
2021- 2022
Sennior IT Support @ Laboratory Manufacturing Group Limited Gh
My PortfolioShowcase
Here is some of my work that I've done in showcase






Data science & AI
ncreasing reliance on data: In the digital age, vast amounts of data are being generated every second. Data science enables organizations to collect, analyze, and extract valuable insights from this data, which can be used to make informed decisions, improve processes, and gain a competitive edge. Data-driven decision making: Businesses and organizations are increasingly adopting a data-driven approach to decision making. Data science provides the tools and techniques to analyze complex data sets and uncover patterns, trends, and correlations. This helps in making more accurate predictions, identifying opportunities, and mitigating risks. Advancements in artificial intelligence: AI technologies have witnessed significant advancements in recent years. AI-powered systems can automate tasks, perform complex calculations, and analyze vast amounts of data much faster than humans. This has led to improvements in various fields such as healthcare, finance, transportation, and customer service. Security challenges in the digital world: As technology evolves, so do the threats associated with it. Cybersecurity has become crucial to protect sensitive information, prevent data breaches, and safeguard critical infrastructure. With the increasing number of cyber attacks and the potential consequences they can have, organizations need skilled professionals to develop robust security measures and respond effectively to incidents. Ethical considerations: The rapid growth of AI and data science also raises important ethical considerations. As AI systems make decisions and predictions that impact people's lives, it is crucial to ensure fairness, transparency, and accountability. Ethical AI practices and policies need to be developed and implemented to address issues such as bias, privacy concerns, and the responsible use of data. Economic growth and innovation: Data science, cyber security, and AI have the potential to drive economic growth and innovation. Organizations that can harness the power of data and AI technologies are better equipped to adapt to changing market dynamics, identify new business opportunities, and deliver improved products and services. Overall, data science, cyber security, and AI have become crucial in the 21st century due to their ability to leverage data, enhance decision making, address security challenges, and drive innovation. Organizations and individuals that embrace these fields can benefit from the opportunities they offer and stay ahead in an increasingly data-driven and interconnected world.
Contact Contact
Accra, Ghana
kellaeric46@gmail.com
+233547984346 /+233 01926457
Asante Twi & English