AI/ML Engineer and Data Scientist with over 3 years of experience building end-to-end intelligent systems, from speech-to-text pipelines and multilingual translation APIs to predictive ML models and production ETL workflows. Proven track record of delivering measurable outcomes, including a 28% increase in conversion rates and a 25% boost in operational efficiency. Passionate about applying AI to language and communication challenges across African and international contexts, leveraging expertise in FastAPI, HuggingFace Transformers, OpenAI Whisper, Docker, and Airflow to build real-time-ready applications.
Remote, Canada
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Part-time
Summary
Led the development and deployment of high-performance ML models and automated data pipelines, significantly enhancing business performance and reporting speed.
Highlights
Developed and deployed high-performance classification and regression models using Scikit-learn, achieving 97% model accuracy in predicting customer churn and delivery delays.
Engineered automated data acquisition and transformation pipelines with SQL and Excel, driving a 25% improvement in overall business performance and reporting speed.
Applied advanced regression analysis and hypothesis testing to identify hidden consumer behavior patterns, resulting in a 15% increase in forecasting accuracy.
Partnered with cross-functional teams to translate complex model outputs into actionable business strategies, directly impacting operational ROI.
Abuja, Nigeria
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Full-time
Summary
Analyzed sales funnels and customer data, spearheaded data validation, and automated reporting processes to improve data reliability and operational efficiency.
Highlights
Analyzed end-to-end sales funnels and customer usage data using SQL and Python, identifying friction points and successfully increasing lead-to-conversion rates by 28%.
Spearheaded a department-wide data validation initiative, reducing entry errors by 25% and improving executive-level report reliability by 20%.
Overhauled legacy reporting processes by implementing automated workflows, cutting manual processing time and enabling real-time data access for stakeholders.
Managed data collection lifecycles across multiple business units, ensuring data consistency and alignment with corporate KPIs.
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Bachelor of Technology
Petroleum Engineering
Grade: Second Class Upper
Fluent
Basic
Python (Pandas, NumPy, Scikit-learn, Matplotlib, Seaborn, SciPy), SQL.
OpenAI Whisper (STT), Helsinki-NLP MarianMT, HuggingFace Transformers, NLP, Sentiment Analysis.
FastAPI, Flask, Streamlit, Uvicorn.
PostgreSQL, MySQL, SQL Server (SSMS).
Supervised Learning (Regression, Classification), NLP, Statistical Modeling, Hypothesis Testing, Feature Engineering.
Docker, Docker Compose, Apache Airflow, Git, GitHub.
Power BI, Tableau, Excel (Advanced Pivot Tables, Dashboards), Metabase.
Cross-Team Collaboration, Stakeholder Management, Problem Solving, Agile Methodologies.
Freelance
Summary
Developed a production-grade speech-to-text and translation pipeline using OpenAI Whisper (local inference) for audio transcription and Helsinki-NLP MarianMT models for multilingual translation, directly analogous to real-time conferencing translation systems.
