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Senior Data Analysis with 5+ years in AI/LLM Evaluation & Business Intelligence
Data Analyst with 5+ years of experience (including research and AI-augmented analytics) working with real-world, messy datasets across FMCG, agricultural research, and AI training data domains. Strong proficiency in Python (Pandas, NumPy, Scikit-learn) and SQL for data wrangling, scripting, and statistical analysis. Experienced in designing analytical questions with clear, verifiable outcomes; evaluating AI model outputs for factual accuracy and logical consistency; and working with CSV, JSON, and log-based datasets. Hands-on exposure to Docker environments and familiarity with AI coding benchmark contexts through LLM evaluation work. Available for remote contractor engagements with PST-overlap availability.
The Bulb Africa
Diploma · Data Analytics
January 1, 2024 – January 1, 2024
Ekiti State University
BSc · Microbiology
January 1, 2017 – January 1, 2021
DataAnnotation.tech TELUS International
AI Data Annotation Analyst (Freelance)
January 1, 2025 – Present
India
She Code Africa
Data Analytics Mentor (Volunteer)
January 1, 2025 – Present
India
Amo Byng Nigeria Limited
Management Information Analyst
December 1, 2024 – Present
Lagos Island, Lagos State, Nigeria
Excelerate-USA
Data Analytics Intern
October 1, 2024 – Present
India
Green Bridge Initiatives
Project Manager & Data Lead (Volunteer)
March 1, 2024 – Present
Lagos Island, Lagos State, Nigeria
The Bulb Africa
Data Analytics Instructor
January 1, 2024 – September 1, 2024
Lagos Island, Lagos State, Nigeria
International Institute of Tropical Agriculture (IITA)
Research / Data Analyst
September 1, 2022 – September 1, 2023
Ibadan North, Oyo State, Nigeria
Google Play Store App Success Analysis
April 1, 2026 – Present
Conducted end-to-end analysis on 8,886-row raw dataset; cleaned messy JSON/CSV data, performed EDA, and built a Random Forest model achieving 97% accuracy and 99.3% AUC score. Designed specific, verifiable analytical questions (e.g. feature importance for app success) yielding three actionable product recommendations.
Datacenter Power & Cooling Performance Analysis
March 1, 2026 – Present
Engineered and analysed 8,760 hours of simulated sensor data (CSV/time-series format) modelling real-world infrastructure metrics including PUE, WUE, and cooling efficiency. Applied anomaly detection to identify 50 critical inefficiency events; conducted 12-month cost forecasting revealing $130K in potential annual savings.
Retail Sales & Inventory Intelligence Dashboard
July 1, 2024 – July 1, 2024
Analysed real-time sales and inventory data; identified 54.08% sell-through rate across product categories; built Looker Studio dashboard surfacing slow-moving SKUs and demand patterns.
Cultural Fit Analysis
The candidate's diverse experience across FMCG, agricultural research, AI/LLM evaluation, environmental sustainability, non-profit, and digital marketing domains indicates adaptability and a broad interest in applying data analytics to various challenges. Their volunteer work as a mentor and project lead also highlights a collaborative and community-oriented mindset. The blend of corporate, freelance, and volunteer roles suggests a flexible and driven individual.
Soft Skills & Operational Fit
The candidate demonstrates strong analytical thinking, problem-solving, and communication skills through their project descriptions and mentorship roles. Their experience in remote async workflows and stakeholder reporting indicates good operational fit for collaborative environments. The volunteer roles also suggest initiative and a proactive approach to skill development and community contribution.