About
Data Scientist with over 5 years of experience in developing and deploying advanced predictive modeling, NLP, and time series forecasting solutions across production environments. Proven expertise in fine-tuning transformer models, building scalable AI pipelines, and leading cross-functional teams to deliver production-ready AI systems that drive significant business impact and operational efficiencies.
Work
Hesed Edusuite
|Data Scientist
Lagos, Lagos, Nigeria
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Summary
Leads data analytics initiatives, designing and deploying real-time dashboards to monitor key academic and financial KPIs, significantly improving operational visibility.
Highlights
Designed and deployed a real-time analytics dashboard using Chart.js and SQL to monitor key academic and financial KPIs, providing comprehensive data insights.
Reduced manual reporting time by 60% and enhanced visibility into attendance/finance trends, enabling rapid identification of at-risk students and informed decision-making.
Independent Consultant (Upwork)
|ML Engineer & Data Scientist
Remote, Remote, US
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Summary
Provided expert ML engineering and data science consulting, delivering advanced NLP, MLOps, and forecasting solutions for global clients.
Highlights
Fine-tuned SecROBERTA (BERT) on CVE descriptions to classify MITRE ATT&CK techniques, achieving 86.47% precision and a minimal 0.0071 validation loss.
Developed and Dockerized an LSTM-based RNN for daily temperature forecasting, enabling scalable inference deployments on cloud environments.
Provided technical advisory, translating ambiguous business needs into clear technical roadmaps for global clients, consistently securing repeat engagements through high-quality deliverables.
TELESOFT
|Data Science / Chatbot Development - CONTRACT
Various, CA, US
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Summary
Led the design and integration of conversational AI solutions, automating candidate screening and ensuring data integrity for HR pipelines.
Highlights
Led the architectural design and implementation of a recruitment conversational AI using Dialogflow and JavaScript, automating initial candidate screening for the HR pipeline.
Developed robust API connectors and regex-driven logic layers to synchronize chatbot activity with backend databases, ensuring 0% data loss during peak traffic.
OCTOSHREW
|Machine Learning Engineer - CONTRACT
Cambridgeshire, Cambridgeshire, UK
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Summary
Re-engineered NLP workflows and automated intelligence pipelines to enhance model accuracy and data collection efficiencies.
Highlights
Re-engineered the NLP workflow using spaCy and NLTK, boosting downstream model accuracy from 68% to 83% through advanced text analysis.
Developed a custom ScrapeAPI + Zyte Smart Proxy pipeline integrated with Google Search API to generate fully automated SEO performance reports.
Eliminated manual data collection, enabling real-time competitor analysis and strategic content benchmarking for enhanced strategic decision-making.
AELOUS
|Machine Learning Engineer Experience
Bangalore, Karnataka, India
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Summary
Enhanced model predictive accuracy and established engineering standards to improve development velocity.
Highlights
Led data-quality improvements and augmentation efforts, increasing model predictive accuracy from 69% to 89%.
Conducted code reviews and implemented documentation guidelines, reducing technical debt and improving development velocity across the team.
Education
UNIVERSITY OF LAGOS
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BSc.
Petroleum Engineering
Grade: 4.46/5.0
Courses
Undergraduate Research Project - Early detection of undesirable events in oil wells using machine learning
Skills
Core Competencies
Python, SQL, NLP & LLMs, Predictive Modelling, Time Series Forecasting, Machine Learning, Deep Learning, Data Analysis.
Tech Stack
PyTorch, TensorFlow, Hugging Face, LangChain, Docker, Google Cloud (GCP), Flask, Streamlit, Git, Linux, spaCy, NLTK, Chart.js, Dialogflow, JavaScript.