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Data Science with less than a year in construction management and data analysis skills.
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
I'm a Building Technology graduate from Obafemi Awolowo University with a strong background and practical experience in construction project management and site supervision, currently transitioning into Data Science. Skilled in data analysis, visualization, and machine learning tools, with the ability to integrate construction expertise with data-driven decision-making to solve real-world problems. Passionate about using data science and analytics to enhance construction processes, infrastructure planning, and operational efficiency.
Obafemi Awolowo University (OAU)
Bachelor of Science (B.Sc.) in Building Technology · Building Technology
N/A – June 30, 2025
Stiftung Construction Limited
Intern / Site Supervisor
April 1, 2024 – September 1, 2024
India
SIWES Training
SIWES Training (Construction Site Experience)
July 1, 2023 – October 1, 2023
India
MetroMove Data Analysis Project (EDA)
June 16, 2026 – Present
Conducted exploratory data analysis on customer behavior datasets. Clean, validate and reprocessed datasets to get a clean data. Identified patterns and insights to understand user engagement and trends. Applied Python for data cleaning, transformation, and visualization. Generated actionable insights, recommendation to support decision-making for Stakeholders.
Hotel Haven Booking Cancellation Prediction
June 16, 2026 – Present
Developed a machine learning classification model to predict hotel booking cancellations using customer and reservation data. Performed extensive data cleaning, preprocessing, feature engineering, and data scaling to improve model performance. Conducted exploratory data analysis (EDA) to identify patterns and factors influencing booking cancellations. Split data into training and testing sets to ensure model generalization and reliability. Evaluated model performance using classification report metrics (accuracy, precision, recall, F1-score) and confusion matrix. Identified key features influencing cancelled and non-cancelled bookings to support data-driven decision-making. Tools used is Python (Pandas, NumPy, Scikit-learn, Matplotlib, Seaborn).
Master Data Scientist Certification
10Alytics
January 1, 2026 – Present
HIPAA Compliance Certificate
HIPAA TRAINING.US
January 1, 2026 – Present
Graduate Member, Nigerian Institute of Building (GMNIOB)
NIOB
January 1, 2025 – Present
Cultural Fit Analysis
The candidate's project diversity is limited to two personal data science projects, which are relevant to the target role. However, the professional experience is entirely in construction, indicating a significant career transition. The breadth of skills listed on the resume is appropriate for an entry-level data science role, but the lack of professional data science experience and the psychometric test score suggest a need for further development in areas critical for cultural and operational fit within a data science team.
Soft Skills & Operational Fit
The candidate exhibits analytical thinking, problem-solving, attention to detail, teamwork, and communication skills. The psychometric test score (270/500) suggests potential areas for development in logical reasoning, work attitude, stress handling, or team collaboration, which could impact operational fit. The candidate's background in construction, while not directly related to data science, indicates a practical, project-oriented mindset.