Chidinma Okeke
Junior Data Scientist, NLP & Text Analytics
Lagos, Nigeria · West Africa Time (UTC+1) · 2 years of experience
Chidinma focuses on turning messy data into tested models and useful decisions.
Request a shortlistWhy this profile fits
Decision-first problem framing
Starts with the decision, target metric, and data limits before choosing a model or analytical method.
Validated modeling
Uses holdouts, experiment design, and error analysis to separate a useful signal from a convincing notebook.
Clear operational handoff
Documents assumptions, monitoring needs, and the path from analysis to a decision or production workflow.
Relevant toolkit
PythonSQL
scikit-learn
PyTorch
dbtDelivery evidence
Selected work
Support Ticket Intent Router
Fintech support operationsBuilt a multi-class NLP classifier that tags incoming support tickets by intent and urgency, then routes them to the right queue. Trained on 60,000 historical tickets with a fine-tuned DistilBERT model served through FastAPI, reaching 91% macro F1 and auto-routing 42% of volume. Median first-response time dropped from 6.5 to 4.7 hours.
Product Review Insight Miner
E-commerce marketplaceAspect-based sentiment analysis and topic modeling over 400,000 product reviews to surface recurring complaints per category. Combined BERTopic for theme discovery with a fine-tuned sentiment model, then delivered a Streamlit dashboard merchants use weekly. Flagged three defect clusters that drove a packaging change and a measurable drop in return rate.
Relevant experience
Career timeline
Junior Data Scientist, NLP & Text Analytics
2024–PresentDevlyn (remote client delivery) · Lagos, Nigeria (Remote)
- Built and shipped text-classification and intent-detection models across three client engagements, including a support-ticket router that auto-handled 42% of volume and cut median first-response time by 28%.
Junior Data Scientist / Data Analyst
2023–2024MarketMint (e-commerce marketplace) · Lagos, Nigeria
- Mined more than 400,000 product reviews with BERTopic and aspect-based sentiment analysis, surfacing defect clusters that informed a packaging change and a measurable drop in category return rate.
Data Science Intern
2023–2023Kudi Systems (fintech) · Lagos, Nigeria
- Cleaned and labeled 60,000 historical support tickets to bootstrap the company's first intent-classification dataset, defining a 14-class taxonomy with the operations team.
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Skill depth
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Relevant experience by skill
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Languages
Frameworks
Libraries/APIs
Tools
Paradigms
Platforms
Storage
Other
Education
Formal background
BSc, Statistics
University of Lagos · 2019–2023 · Second Class Upper Division (2:1)
Credentials
Certifications
dbt Analytics Engineering Certification
dbt Labs · 2022 · Certified
Communication
Languages
English
Native
Igbo
Native
Yoruba
Conversational
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