Nigerian Food Price Inflation Analysis
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Summary
Analyzed multi-year food commodity price data across Nigerian states using Python to identify regional inflation trends and seasonal patterns within a humanitarian context.
About
Highly analytical and results-driven professional with expertise in data analysis, machine learning, and data quality assurance, poised to leverage Python, SQL, and advanced statistical methods to drive data-informed decisions. Demonstrated ability to translate complex datasets into actionable insights, develop predictive models, and manage end-to-end data pipelines for improved operational efficiency and strategic program adaptation. Seeking to apply robust technical skills and a passion for impactful data solutions in a challenging role.
Work
African Youth Growth Foundation (AYGF) | WFP Cooperating Partner
|Data & MEAL Support Officer
Katsina State, Katsina, Nigeria
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Summary
Led data analysis, reporting, and field operations management for humanitarian programs, optimizing data reliability and informing strategic decisions for 86,000+ beneficiaries.
Highlights
Conducted quantitative data analysis using Python (Pandas, NumPy, Matplotlib) on 86,000+ beneficiary datasets, producing trend reports and visualizations that informed management decision-making.
Performed Nigerian food price inflation analysis with Python, identifying pricing trends across LGAs and generating actionable insights for program adaptation.
Designed and maintained interactive Excel dashboards tracking vendor performance, beneficiary activity, and key program indicators across 16 vendor outlets.
Implemented Data Quality Assurance (DQA) pipelines, including consistency checks, deduplication, and completeness validation, improving dataset reliability by eliminating duplicate and erroneous records.
Supervised 45 enumerators on mobile data collection tools (KoboCollect, ODK, CommCare), ensuring clean, structured, analysis-ready datasets from field operations.
Excellent Community School
|Computer & Mathematics Teacher
Giwa, Kaduna, Nigeria
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Summary
Delivered engaging instruction in computer literacy and mathematics, fostering student analytical and digital competencies while effectively managing academic records.
Highlights
Delivered structured instruction in computer literacy and mathematics, strengthening analytical and digital competencies in students.
Managed student performance records and academic assessments, demonstrating systematic documentation and data tracking skills.
Education
Federal University Dutsin-Ma (FUDMA)
Dutsin-Ma, Katsina, Nigeria
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Bachelor of Science
Computer Science
ABG Computer Institute
Katsina, Katsina, Nigeria
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OND
Computer Software Applications
Samaru College of Agriculture, ABU
Zaria, Kaduna, Nigeria
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ND
Agricultural & Bio-Engineering
Languages
English
Certificates
Associate Data Science Track
Issued By
DataCamp
Statistics & Data Analysis
Issued By
DataCamp
Prevention of Sexual Exploitation & Abuse (PSEA) | AAP | BSAFE
Issued By
UN Standard Humanitarian Certifications
Cisco CCNA Training | Huawei Cloud Computing
Issued By
Cisco | Huawei
Skills
Programming Languages
Python, SQL (MySQL), Basic R.
Libraries
Pandas, NumPy, Matplotlib, Seaborn, SciPy, Scikit-Learn, LangChain, Google Generative AI.
Tools
Excel (Advanced), Dashboards, Pivot Tables, Google Sheets, Power BI (learning), SPSS.
Data Collection
KoboCollect, ODK, CommCare, WFP SCOPE, Google Forms.
Platforms
Jupyter Notebook, VS Code, Google Colab, Streamlit.
Soft Skills
Data Storytelling, Stakeholder Reporting, Attention to Detail, Field Data Operations, Team Leadership, Problem-Solving, Analytical Thinking, Communication.
Data Analysis
Quantitative Data Analysis, Statistical Analysis, Trend Analysis, Data Visualization, Data Quality Assurance, Dataset Reliability, KPI Tracking.
Machine Learning
Classification Models, Logistic Regression, Decision Tree Algorithms, Feature Engineering, Model Evaluation (Precision, Recall, F1-score, Confusion Matrix), Text Classification, Natural Language Processing (NLP), TF-IDF Vectorization, Naive Bayes, Support Vector Machine (SVM).
Humanitarian & Development
Programme Adaptation, Beneficiary Activity Tracking, Vendor Performance, CBT Transaction Analysis, E-voucher Delivery, IPTT (Indicator Performance Tracking Table), Results Frameworks.
Projects
Phishing Website Detection Model
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Summary
Developed a machine learning classification model to detect phishing websites using logistic regression and decision tree algorithms.
Spam Detection Model
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Summary
Built a text classification model to detect spam messages using Natural Language Processing (NLP) techniques, achieving strong classification performance.
FUDMA InfoGuide - LLM-Powered University Chatbot
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Summary
Designed and deployed an LLM-powered chatbot that answers questions from university PDF documents using LangChain and Google Generative AI, with a Streamlit-based front-end.