Doceat AI - Food Recommendation App
Summary
Built an AI-powered food recommendation application that suggests meals to users based on personalised inputs including age and gender.
About
Detail-oriented and analytically driven Data Analyst with hands-on experience in data preparation, cleaning, exploratory data analysis (EDA), and visualization. Proficient in Python, SQL, Excel, and Power BI, with a strong foundation in database creation and management. Passionate about transforming raw data into actionable insights that drive informed decision-making. Actively building expertise in machine learning, having developed and deployed classification models including Random Forest, Decision Tree, Gradient Boosting, and Logistic Regression. A fast learner with a physics background that sharpens quantitative thinking and problem-solving skills.
Work
Techyjaunt
|Data Analyst Intern
Karu, Abuja, FCT, Nigeria
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Summary
Assisted in data preparation, cleaning, and exploratory data analysis to deliver actionable insights and support project development.
Highlights
Executed robust data preparation, cleaning, and Exploratory Data Analysis (EDA) on extensive student datasets, ensuring data quality for analytical insights.
Designed and implemented compelling data visualizations, translating complex raw student records into clear, actionable insights for stakeholders.
Provided critical data findings that accelerated the development of a student verification web page, significantly reducing project delivery timelines.
Collaborated effectively with cross-functional teams, maintaining stringent data quality and integrity standards across the entire project lifecycle.
Education
Secondary School
High School Certificate
Airforce Institute of Technology
Kaduna, Kaduna, Nigeria
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Bachelor of Science
Physics
Languages
English
Certificates
Certificate of Completion - Techyjaunt Data Analytics Programme
Issued By
Techyjaunt
Certificate of Internship
Issued By
Techyjaunt
Associate Data Analyst
Issued By
DataCamp
Skills
Languages
Python, SQL, MySQL, PostgreSQL.
Analytics Tools
Microsoft Excel, Power BI, Power Query.
Databases
Database Design & Management, MySQL, PostgreSQL.
Other Data Skills
Exploratory Data Analysis (EDA), Data Cleaning, Data Visualization.
Machine Learning - Classification
Random Forest Classifier, Decision Tree Classifier, Gradient Boosting Classifier, Logistic Regression.
Machine Learning - Regression
Linear Regression, Ridge Regression.
Machine Learning - Time Series
ARMA Model.
Machine Learning - Focus
Supervised Learning, Model Evaluation & Accuracy Optimisation.
Data Handling
Structured Datasets, Unstructured Datasets.
Projects
Patient Disease Predictor
Summary
Developed a machine learning model that predicts a patient's likely disease based on reported symptoms, achieving a model accuracy of 70.95%.
UK Railway Performance Analysis
Summary
Analysed UK railway data to determine the proportion of trains arriving on time, delayed, or cancelled, providing a clear picture of overall service reliability.
Washington D.C. Crimes Dataset Analysis
Summary
Analysed Washington D.C. crime records to identify the most common crime types ranked by UCR classification.
Social Media Hashtag Effectiveness Analysis
Summary
Collected and processed social media post data using Python, SQL, Power Query, and Excel.