About me
I am a Data Scientist and NLP Researcher based in Port Harcourt, Nigeria.
I am particularly interested in the domains of NLP, CV, ML, Data Science, and Software Development.
Though my work mostly deals with NLP research on healthcare data.
My role involves building predictive models, create NLP models and algorithms that are not only accurate and efficient but also easy to use. I focus on making sure that my solutions are understandable and user-friendly, so even the most complex data becomes accessible. My aim is to help bring your message and identity to life through innovative language processing solutions. I've had the privilege of developing NLP applications for a number of customers, helping them use language data to make smarter decisions.
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My programming journey began in 2020 during the COVID-19 lockdown—because if you’re stuck inside, why not pick up a few coding headaches? Since then, I’ve embraced every bug and challenge like an old friend.
My Machine Learning and AI foundation came from coursework, and I built on it with courses from Amazon, Microsoft, and IBM—because if you’re diving into data science, why not let the tech giants tag along? I tackled projects like Iris flower classification and diabetes prediction, the usual starter pack.
In 2021, I interned at HamoyeAI, fine-tuned ML models, dabbled in computer vision, and worked on predicting energy efficiency—basically, trying to save the world one building at a time.
By 2023, I jumped into open-source, building an ASD prediction model with OmdenaAI. It was a great learning experience, even if coordinating with data scientists worldwide required serious coffee and timezone juggling.
That summer, I joined TransAfam Power as a Data Analyst, where I used Excel and Python to streamline workflows and earned some recognition with a Mid-Year Analysis Report—just before heading back to campus for my BSc.
Now, I’m knee-deep in NLP, working on ReviewScope to analyze customer sentiment, and researching how ML models stack up against shiny new Transformers in classifying patient conditions.
Feel free to reach out if you'd like to connect or chat about data, AI, or even just how to survive the next big coding bug!🐛
What I do
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Data Analysis
Tableau, Power BI, Excel, ...
Solve business problems by analyzing and interpreting complex datasets to uncover trends, patterns, KPIs and insights that drive strategic decisions.
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Machine Learning Modeling
Sklearn, Pandas, Numpy, ...
Develop and deploy predictive and classification models to solve real-world problems, from improving customer retention to detecting fraud.
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Natural language Processing
Transformers, NLTK, Spacy, Sklearn, ...
Leverage natural language processing techniques to extract meaningful information from vast amounts of text data, helping businesses understand customer sentiment and improve communication.
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Computer Vision
OpenCV, Mediapipe, Pytorch, ...
Implement computer vision solutions to enable machines to interpret and understand visual information, solving problems like automated quality inspection and facial recognition.
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Artificial Intelligence
LLMs, RAG, Zapier, Make...
Utilize advanced AI techniques to create intelligent systems that solve complex tasks, such as automating customer support with chatbots and enhancing decision-making processes.
Testimonials
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Vidura Bandara Wijekoon
Chibuike was a Junior ML Engineer on a 7-week ML project in Sri Lanka that was aimed at predicting autism, and I was continually amazed by his extensive data science and machine learning expertise. He was able to use this knowledge to assist us in finding important trends in the data and making precise predictions. Chibuike was a dependable and committed team member throughout the entire project, and I heartily endorse him to anyone searching for a knowledgeable ML expert.
-- Sri Lanka Chapter Lead, OmdenaAI
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Jon Wayland
So, Chibuike has both ambition AND technical skills. He also happens to be freshly graduated with a BS degree in computer science, is open to opportunities in #datascience, and is comfortable working remotely.
I've had plenty of mentors over the years who have helped me in pivotal moments throughout my professional journey, and I'd love to pay that forward. Chibuike is a no-brainer when it comes to that.
-- Data Science Director, Florida Blue
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Ifeanyi Ojinnaka
Chibuike is proactive, hardworking, and deligent in discharging his tasks. Hs analysis was highly recommendable and was detailed. He has shown that he can be relied upon for bigger tasks. He contributed immensely during his stay in Procurement Department for TransAfam Power Ltd.
--Head Procurement, TransAfam Power
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Lars Hartog
Chibuike did a good job and had an eye for the little details
-- Freelance, Upwork
