Better Business Forecasts
Use historical patterns to estimate demand, sales or workloads while accounting for uncertainty.
MACHINE LEARNING SOLUTIONS
Machine learning that makes data useful.
I build data-driven applications that help you forecast demand, understand customers, recognize patterns and make more informed decisions. From an initial data assessment to deployment, I focus on solutions you can actually use.
- Turn business data into useful predictions
- Build custom models and intelligent applications
- Test accuracy before putting models to work
Prefer to talk? Call 0394 814 512 or 0791 705 113
Why machine learning can help your business.
Machine learning is most valuable when it addresses a clear problem and is supported by useful data.
Discover Useful Patterns
Find trends in transactions, operations and customer behaviour that are hard to spot manually.
More Relevant Experiences
Create data-informed recommendations and personalized features with appropriate safeguards.
Spot Unusual Activity
Flag anomalies for review in transactions, inventory or system activity.
Make Faster Decisions
Present model outputs in dashboards and existing workflows for human review.
Learn from New Data
Evaluate and improve models as fresh, relevant data becomes available.
Machine learning services, built for real needs.
From a first prototype to an integrated predictive feature, I help you build responsibly and measure results.
Predictive Analytics & Forecasting
Forecast sales, demand, stock needs or operational trends.
- Data preparation and baseline models
- Forecast accuracy evaluation
- Dashboards and reporting
Customer & Business Insights
Group records, identify trends and understand customer behaviour.
- Segmentation and clustering
- Behaviour and retention analysis
- Actionable visual summaries
Recommendation Systems
Suggest relevant products, content or next steps based on available signals.
- Recommendation logic
- Ranking and relevance testing
- Website or app integration
Computer Vision Solutions
Analyze images for suitable business applications where data and consent permit.
- Image classification
- Object detection prototypes
- Quality and error checks
Text & Document Intelligence
Classify, organize and extract information from business text.
- Text classification
- Document categorization
- Human review for uncertain outputs
Custom Model Development & MLOps
Design, deploy and monitor models for specific business needs.
- Model training and evaluation
- API and application integration
- Monitoring and retraining plans
Industries & practical use cases.
I tailor each solution to the available data, business objectives and real-world constraints.
Retail & E-commerce
Demand forecasting, stock planning, customer segmentation and product recommendations.
Agriculture & Supply Chains
Yield-related analytics, logistics forecasting and operational pattern analysis where reliable data exists.
Finance & Professional Services
Document classification, anomaly alerts and workflow decision support with human oversight.
Schools & Institutions
Enrollment trends, resource planning and administrative insights with strong privacy safeguards.
From data assessment to dependable models.
A measured, transparent approach so you understand the data requirements, expected accuracy and limitations.
Discovery & Data Assessment
I define the business question, inspect available data and check whether machine learning is a good fit.
Week 1Preparation & Prototype
I clean data, establish a simple baseline and test candidate approaches.
Weeks 2–3Model Evaluation & Integration
I measure performance on held-out data, check failure cases and connect the model to your application.
Weeks 3–6+Monitoring & Improvement
I track model quality and data changes, document limitations and plan updates where needed.
OngoingWhat machine learning could look like for you.
These are illustrative project ideas, not claims about completed clients or guaranteed results.
Sales Forecasting Dashboard
A dashboard that estimates upcoming demand from historical sales and seasonal trends.
Product Recommendation Engine
An e-commerce feature that ranks relevant products using browsing and purchase signals.
Document Sorting Assistant
A tool that categorizes incoming documents and routes uncertain cases for review.
Inventory Anomaly Alerts
A system that highlights unusual stock movements so your team can investigate.
Machine learning pricing & plans.
Flexible starting budgets in Ugandan shillings. Final cost depends on data readiness, complexity and deployment requirements.
ML Feasibility & Prototype
For exploring one idea and validating your data.
UGX 1,200,000
Project starting price- Discovery and data assessment
- One use case and baseline model
- Initial evaluation report
- Prototype demonstration
- Recommendations and next steps
Business ML Solution
For a tested predictive feature integrated into your workflow.
UGX 3,500,000
Project starting price- Data preparation and feature engineering
- One custom predictive model
- Evaluation and error analysis
- Dashboard or API integration
- Documentation and handover
- 30 days launch support
Advanced / Custom ML
For larger datasets, complex models and production deployments.
From UGX 8,000,000
Custom project quote- Advanced model development
- Multiple data sources and integrations
- Deployment and monitoring design
- Security and access controls
- Testing and stakeholder training
- Tailored support arrangement
These are suggested starting fees, not verified market averages. Data collection or labeling, cloud compute, third-party APIs, hosting and ongoing maintenance are quoted separately. Results and model accuracy depend on the quality and suitability of available data.
Your questions, answered clearly.
Answers to common questions before starting your project.
Do I need a large dataset?
Not always. The amount and quality of data needed depend on the problem. I assess feasibility first and may recommend a simpler rules-based solution.
Can you work with Excel, CSV or an existing database?
Yes, where the data can be accessed legally and securely. I assess data quality, missing values and permissions before development.
Can you guarantee prediction accuracy?
No responsible developer can guarantee accuracy in advance. I establish evaluation criteria, test with unseen data and explain limitations.
How long does a project take?
A feasibility study or prototype may take a few weeks. Production solutions can take longer depending on data, integrations and testing.
Who owns my data and how is it protected?
Your data remains yours under the agreed contract. We define access, retention, appropriate safeguards and third-party processing before work begins.
Are hosting and cloud model costs included?
No. Compute, storage, paid APIs, hosting and ongoing monitoring are estimated separately.
Turn your data into better decisions.
Tell me what you want to predict, classify or improve. I'll help you understand whether machine learning is the right approach and what it could cost.
- A reply directly from me
- Feasibility and data requirements explained
- A clear written quote and timeline
- Based in Kampala, serving clients across Uganda
Get your free quote
Share your idea or data challenge. No obligation.