About me
I am a Data Scientist based in Port Harcourt, Nigeria,
specializing in data analysis, machine learning and Natural Language Proceessing. I excel at transforming complex datasets into actionable insights and intuitive visualizations.
I also excel at transforming complex linguistic data into intuitive applications.
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 started in 2020 during the COVID-19 lockdown, ever since I have embraced every challenge that comes with it.
My foundation in Machine Learning and Artificial Intelligence came from my coursework. I've built on this by enrolling in Applied Data Science courses from Amazon, Microsoft, and IBM. I also worked on basic ML projects like Iris flower classification, diabetes prediction, and COVID-19 prediction.
In 2021, I interned as a Data Scientist at HamoyeAI, where I fine-tuned ML models, learned computer vision basics, and worked on a regression project, "Predicting Energy Efficiency of Buildings."
By 2023, I started working on open-source projects, including building an ASD in toddlers prediction model with OmdenaAI. This three-month project improved my technical, collaboration, and communication skills through teamwork with data scientists worldwide.
During my 2023 summer break, I worked as a Data Analyst at TransAfam Power, contributing significantly to the Procurement Sector with my communication and bargaining skills. I used MS Excel for data entry, ETL, and manipulation, and Python for automation. My major accomplishment was developing a Mid-Year Analysis Report, earning me recognition before returning to campus to complete my BSc program.
I am currently exploring Natural Language Processing (NLP) and working on a project- ReviewScope. ReviewScope analyzes customer reviews to extract sentiment insights, featuring an interactive dashboard for comprehensive sentiment analysis.
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, Transformers, ...
Utilize advanced AI techniques to create intelligent systems that solve complex tasks, such as automating customer support with chatbots and enhancing decision-making processes.