Help & Supportcareers@gravityer.com
Data Scientist with 8+ years in Machine Learning & Predictive Analytics
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Data Scientist skilled in building scalable machine learning models and transforming data into business impact. Proven record of improving decision-making through predictive analytics and automation. Passionate about mentoring and driving data-driven innovation. Employs SaaS solutions like Google Workspace, Microsoft 365, Webex, Zoom, Slack, Circle, etc, to communicate effectively at work.
University of Benin
B.Sc. · Industrial Physics
August 1, 2010 – June 30, 2010
Geoplex Drillteq Limited
Human Resources Generalist (Data & People Analytics Focus)
June 1, 2025 – Present
India
Mahdumo Academy
Data Science Instructor
August 1, 2024 – Present
Abuja, Federal Capital Territory, Nigeria
Udacity
Session Lead Data Analyst
May 1, 2022 – August 1, 2023
California City, California, United States
Self-Employed
Data Analytics & Business Structure Consultant
January 1, 2022 – Present
India
Customer Segmentation
June 21, 2026 – Present
Applied K-Means clustering to segment marketing audiences, identifying 4 high-value customer groups and improving campaign ROI by 18%.
Image Classifier
June 21, 2026 – Present
Developed a CNN with PyTorch to classify 10,000+ labeled images with 94% precision and automated testing pipeline using Google Colab.
Tumor Classification
June 21, 2026 – Present
Implemented KNN model achieving 96% classification accuracy on medical dataset and visualized results via Seaborn heatmaps.
Iris Flower Classification
June 21, 2026 – Present
Built and compared 6 ML models on the Iris dataset, selecting the best-performing model with 98% accuracy and reliable cross-validation metrics.
Car Price Prediction
June 21, 2026 – Present
Built and tuned a Gradient Boosting model to predict car prices with 92% accuracy.
AI Programming with Python
Udacity
January 1, 2024 – Present
Data Science
National Information Technology Development Agency (NITDA)
January 1, 2024 – Present
Applied Digital Skills: Communicate Effectively at Work
January 1, 2023 – Present
Analyzing Data with Excel
IBM
January 1, 2022 – Present
AWS Machine Learning Foundations
Udacity
January 1, 2022 – Present
Data Analyst
ALX-T/Udacity
January 1, 2022 – Present
Predictive Analytics for Business
Udacity
January 1, 2021 – Present
Fundamentals of Project Management
DexNova Consulting Limited
January 1, 2011 – Present
Cultural Fit Analysis
The candidate's diverse project portfolio, ranging from car price prediction to tumor classification and customer segmentation, indicates a broad interest in applying data science across different domains. Their experience as an instructor and consultant suggests a proactive and collaborative approach, which aligns well with a culture that values knowledge sharing and problem-solving. The current role as an HR Generalist with a data focus, while not a direct Data Scientist role, shows an ability to integrate data-driven thinking into various business functions. However, the overall experience leans heavily towards individual project execution and instruction rather than large-scale, collaborative data science team environments, which might require adaptation.
Soft Skills & Operational Fit
The candidate demonstrates strong communication skills through their instructor and mentoring roles, and their project descriptions are clear and concise. Their experience in HR analytics and consulting suggests an ability to translate technical insights into business value and collaborate with stakeholders. The mention of using various SaaS solutions for communication indicates adaptability to modern work environments. However, the resume does not provide specific examples of stress handling or complex team collaboration scenarios beyond mentoring.