Destiny Owobu

Destiny Owobu
Data Scientist | Geospatial Analytics | Machine Learning

I build data-driven solutions that turn complex datasets into actionable insights. My work spans geospatial intelligence, predictive modeling, and decision support systems across telecoms, utilities, and digital platforms—helping organizations optimize operations, reduce costs, and make smarter strategic choices.

📌 Explore my projects below or reach out to collaborate.

Core Skills

• Machine Learning (Random Forest, classification, feature engineering)
  
  

• Geospatial Analytics & Mapping
  
  

• SQL (Joins, Optimization, Normalization)
  
  

• Data Analysis & Visualization (Python, Pandas, NumPy, Matplotlib)
  
  

• Data Governance & Pipeline Transparency
  
  

• Stakeholder Communication & Project Leadership

Contact me for Data science roles, consulting, or collaborations.

Experience

Data Science Graduate Intern — Sand Technologies

(2014–2015)

• Built validation and inference scripts for a low-cost clutter model supporting telecom network planning.
  
  

• Geocoded 250,000+ addresses using OpenStreetMap and Nominatim, saving an estimated $2,000 in licensing costs.
  
  

• Supported data governance by populating a data register to improve traceability across data pipelines.
  
  

• Explored LLM-assisted ward-level data acquisition in Nigeria, where public data is sparse.
  
  

• Developed a 92%-accurate ML model classifying Nigeria’s 774 local governments into urban, semi-urban, and rural categories using multidimensional socioeconomic and infrastructure features.
  
  

• Designed an opportunity scoring framework that shortlisted 4,000 high-value buildings from over 21,000 for a multinational telecom client’s sales campaign.
  
  

Selected Projects

Predictive Maintenance for a Water Utility

Role: Project Manager

• Led EDA across telemetry, maintenance, and failure datasets.
  
  

• Developed and optimized a Random Forest classifier:
  
  

  • Accuracy: 99.92% | F1: 99.91% | ROC AUC: 0.919
    
    

• Presented dashboards, model insights, and deployment roadmap to investors and analysts.
  Impact: Reduced downtime, optimized maintenance costs, improved operational efficiency.
  
  

The Science of Bets — SQL Analytics

• Four-week SQL project analyzing European soccer data (Kaggle).
  
  

• Applied Joins, query optimization, and normalization in Jupyter.
  
  

• Key insights: Eredivisie has the highest average goals; Ligue 1 has the highest clean sheets; and Barcelona & Real Madrid are dominant.
  🔗 Slides: https://lnkd.in/dK3HFWXk
  
  

Netflix Data Analysis

• Analyzed Netflix CSV data using Pandas, NumPy, and Matplotlib.
  
  

• Applied the MECE framework to segment movies vs. TV shows.
  
  

• Delivered actionable recommendations to improve content strategy and user engagement.
  
  

Waga Vacation Planning App

• Contributed to a product-focused app for personalized trip planning.
  
  

• Worked across UI/UX design, backend logic, frontend implementation, testing, and launch.
  
  

• Roadmap includes smarter recommendations, expanded integrations, and market expansion.
  
  

Contact

• Email: apogeeden@gmail.com
  
  

• Phone: +234 816 743 1224
  
  

• LinkedIn: https://www.linkedin.com/in/destiny-owobu-a625bb111
  
  

• GitHub: https://github.com/PBRAINS
  
  

• Twitter: https://twitter.com/apogeeden
  
  

• Website: www.bitacademy.mydurable.com