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Paul Emakpor

@paulemakpor

Machine Learning Engineer at FlyRankAI who built a support-ticket routing system with 0.82 ROC-AUC.

At FlyRankAI, I applied embeddings and clustering to search and analytics data, and built models to classify intent and score opportunities. I also turned messy data into reproducible machine learning pipelines and connected model outputs to business recommendations.

As a self-employed Machine Learning Engineer, I design and deploy end-to-end systems across machine learning, NLP, computer vision, and forecasting. My SupportSenseAI project classifies and routes support tickets, reaching 0.82 ROC-AUC; I served its predictions through FastAPI and deployed it with Docker to Hugging Face Spaces.

Earlier, at Future Interns, I built a retail sales forecasting system and NLP-based support ticket classifier. I also worked as a Data Analyst at FirstClass Support Services, creating KPI reports and visualizations and using SQL to integrate data for campaign analysis.

Experience

Work history, roles, and key accomplishments

Current

Machine Learning Engineer

Current

Self-Employed

Jan 2026 - Present (9 months)

Independently design, build, and deploy end-to-end machine learning systems spanning classical ML, NLP, computer vision, time-series forecasting, and AI applications. Manage the complete ML lifecycle, including data preparation, feature engineering, model development, evaluation, API development, deployment, and monitoring-ready workflows.

Machine Learning NLP Computer Vision Time series Forecasting fastAPI Streamlit Hugging Face Spaces Vercel Render GitHub Actions CI CD ROC AUC Recall Maps RMSLE

Data Science & AI Instructor

Abuja Data School

Apr 2026 - Oct 2026 (6 months)

Teach Data Science, AI, and Machine Learning through practical, project-based training, using Python and the data science stack. Prepare training materials and guide students through hands-on projects from data analysis to model building.

Python Data Science Machine Learning Project Based Learning

Machine Learning Intern

FlyRankAI

Jul 2026 - Sep 2026 (2 months)

Apply embeddings and clustering techniques to organize search and analytics data by semantic meaning and identify content coverage gaps. Build intent classification and opportunity-scoring models to prioritize content actions based on expected business impact.

Embeddings Clustering Intent Classification Opportunity Score Machine Learning Pipelines Data Cleaning SQL

Machine Learning Intern

Future Interns

Apr 2026 - Jul 2026 (3 months)

Built a retail sales forecasting system using historical time-series data and engineered lag, seasonal, holiday, and promotional features to support demand planning. Developed an NLP-based support ticket classification system that automatically categorizes customer issues from ticket text.

Time series Forecasting Feature Engineering NLP TF IDF Cosine Similarity Resume screening Machine Learning Pipelines

Data Analyst

FirstClass Support Services

Jan 2023 - May 2023 (4 months)

Created reports and visualizations to communicate key performance indicators and insights to stakeholders using Tableau and PowerBI. Achieved improvements in data analysis efficiency by implementing WEKADATAMINING software, resulting in faster data processing and more accurate insights.

Tableau Power BI SQL Data Analysis Data Visualization WEKA Predictive Analytics Customer Segmentation