You will get a Data Driven Dashboard


Project details
I design and build interactive, user-friendly dashboards that turn your raw data into actionable insights. Your KPIs and business metrics are visualized with dynamic charts, graphs, and tables. Depending on the package, dashboards can include filters, drill-downs, real-time updates, and ML-powered analytics for predictions or trend analysis. Ideal for businesses, teams, and projects that need clear, decision-ready insights from their data.
Programming Languages
HTML & CSS, JavaScript, PythonCoding Expertise
Cross Browser & Device Compatibility, Performance Optimization, DesignWhat's included
| Service Tiers |
Starter
$15
|
Standard
$22
|
Advanced
$30
|
|---|---|---|---|
| Delivery Time | 2 days | 4 days | 7 days |
Number of Revisions | 0 | 1 | 2 |
Number of Pages | 1 | ||
Design Customization | - | ||
Content Upload | - | - | |
Responsive Design | - | - | |
Source Code |
About Kenean
Machine learning Engineer | Backend Developer
Addis Ababa, Ethiopia - 5:21 pm local time
I work with Python, Django, Flask, and modern ML frameworks to create solutions that turn data into real, working products. My experience includes building custom ML pipelines, recommendation systems, data-driven applications, and interactive visualizations.
Core strengths:
~ Machine Learning model development
~ Recommendation systems
~ Data preprocessing and analysis
~ Computer vision and NLP fundamentals
~ Backend development (Django, Flask)
~ API integration and deployment
~ Clean, maintainable, documented code
Projects I’ve worked on include:
~ End-to-end ML recommendation systems
~ Web applications powered by Django and Flask
~ Machine learning models for prediction and classification
~ Data visualization dashboards
~ ML pipelines optimized for real-world tasks
I’m focused on delivering reliable results, communicating clearly, and building solutions that make an impact. If you need an ML engineer or backend developer who can take your idea from concept to deployment, I’m ready to help.
Steps for completing your project
After purchasing the project, send requirements so Kenean can start the project.
Delivery time starts when Kenean receives requirements from you.
Kenean works on your project following the steps below.
Revisions may occur after the delivery date.
Project Lifecycle
- Understand client data & metrics. - Design dashboard layout & charts. - Connect data source (DB/CSV/API). - Implement backend + API if needed. - Add interactivity / filters / ML insights. - Test, deploy, and deliver dashboard.