Kobla Legbedje
About
Kobla Legbedje
Data Scientist
Data Scientist with a strong background in mathematics, hands-on experience in data analysis and teaching, and expertise in Python, R, SQL, and data-visualization tools.
Passionate about innovation and solving complex problems through data-driven approaches. With 5 years of web-development experience using React.js, I combine technical expertise with analytical thinking.
Statistical modelling and data visualisation
Neural-network and deep-learning systems
Data pipelines and database management
Proficient in Python, R and SQL
Expertise
Certifications
Make webpages that respond to different screen sizes by building a photo gallery with Flexbox, and a magazine article layout with CSS Grid.
Scraped and analysed customer review data to uncover findings. Built a predictive model to understand factors that influence buying behaviour.
Comprehensive training on Snowflake data warehouse essentials and best practices.
Technology Stack
Data Science & ML
7 technologies
Data Visualization
5 technologies
Databases
4 technologies
Web Development
3 technologies
Cloud & DevOps
3 technologies
Project Management
3 technologies
Experience
Analyzed connected-product data to propose new applications • anomaly detection • built HR chatbot.
Customer-review scraping, insight extraction, predictive model (+10 % sales potential).
Taught statistics & linear-algebra, designed exams, analysed results.
Built modern, responsive React.js interfaces for several projects.
Projects
Technologies Used
Key Features
- Real-time air pollution monitoring using OpenWeather API
- Interactive map with pollutant details (PM2.5, NO2, O3, etc.)
- Personalized health tips based on user profile (asthmatic, athlete, etc.)
Technologies Used
Key Features
- Real-time neural network data visualization
- Predictive analytics with ML models
- Automated anomaly detection
- Multi-user collaboration tools
Technologies Used
Key Features
- Real-time Amazon product scraping with rotating proxies
- Data extraction: title, price, reviews, availability, competition
- Feature engineering and real-time data processing
- Churn prediction using machine learning models
- Scalable architecture with anti-detection mechanisms
Technologies Used
Key Features
- Real-time chat with RAG-powered responses
- Context-aware answers from university documents and FAQs
- Conversation history management
- Student authentication with JWT-based sessions
- Futuristic neon UI with animated transitions
Technologies Used
Key Features
- CSV file upload and parsing with PapaParse
- Interactive charts for reach and engagement metrics
- Automatic calculation of engagement rate
- Responsive UI with Tailwind and custom icons
- Real-time filtering and clean data visualizations
Technologies Used
Key Features
- 3-day PM2.5 prediction using machine learning
- Interactive charts for pollutants (NO₂, PM10, O₃...)
- Clean and responsive UI
- Support for multiple pollutant types
- Open data integration from Data.gouv.fr / Airparif
Connect
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