You will get a fully AI-powered health & food safety Machine Learning application.
Rising Talent
Project details
I build custom AI-powered health and food safety systems using Python and machine learning. I already built SafeBite — a complete AI engine featuring barcode-based ingredient analysis, AI-powered risk detection, medication-condition interaction checking, family profile–based safety scoring, and nutritional intelligence — from scratch. You get a production-ready, fully tested ML solution, built clean and fast with real AI integration. I've delivered real client projects internationally and I focus on accuracy, performance, and on-time delivery.
Machine Learning Tools
Apache Spark MLlib, Azure Machine Learning, Deeplearning4j, fastText, GoLearn, Keras, MLflow, NLTK, NumPy, Open Neural Network Exchange, OpenCV, pandas, Python, Python Scikit-Learn, PyTorch, RapidMiner, scikit-learn, SciPy, Scrapy, SQL, TensorFlow, TextBlob, Word2vec, XGBoostWhat's included
| Service Tiers |
Starter
$300
|
Standard
$600
|
Advanced
$1,200
|
|---|---|---|---|
| Delivery Time | 14 days | 21 days | 30 days |
Number of Revisions | 2 | 3 | 5 |
Model Validation/Testing | - | - | - |
Model Documentation | - | - | - |
Data Source Connectivity | - | - | - |
Source Code | - | - | - |
Optional add-ons
You can add these on the next page.
Fast Delivery
+$600 - $3,000
Additional Revision
+$100
Model Validation/Testing
(+ 2 Days)
+$25
Model Documentation
(+ 2 Days)
+$10About Wilson
Data Analyst | Python, SQL & Power BI | Dashboards & Automation
Nairobi, Kenya - 7:42 am local time
I am an Expert-Vetted Principal Architect who builds Agentic data foundations that don't just report data they reason over it. I turn multi-source chaos into a Single Source of Truth that drives confident, high-stakes decisions.Most AI and BI initiatives fail not because of bad models, but because of broken data foundations
Featured Build: AgentMaestro
Achieved 97% accuracy in Nairobi's volatile real estate market by replacing legacy "Black Box" ML with a "Two-Brain" Reasoning Architecture on Vertex AI.
What I Deliver
Cost & Latency Optimization
Re-engineer legacy warehouses using Dataform + modern ELT. Reduce cloud bills by 30%+ and achieve sub-2-second dashboard latency.
Data Integrity & Attribution
Unify fragmented silos: Shopify, Meta, CRM, GTM/CAPI. Build high-integrity Customer Data Platforms (CDP) with 100% visibility into ROI and attribution.
Reasoning-as-a-Service (RaaS)
Deploy LLM-driven reasoning engines on Vertex AI. Move beyond prediction into Agentic AI with "Glass Box" audit trails for compliance and trust.
The Maestro Difference
I am not a task-taker. I am a strategic partner who owns the entire data lifecycle—from ingestion to insight. I design proprietary logic that ensures your data is an asset, not a liability.
Certifications
-Google Cloud Professional Data Engineer
-Google Cloud Professional Machine Learning Engineer
-Google Data Analytics
-Microsoft Programming Certificate
Technical Stack
Cloud: GCP
Warehousing: BigQuery, BigLake, PostgreSQL, MySQL, SQL Server
Modeling: Dataform, dbt
ML & AI: Vertex AI, BigQuery ML, TensorFlow, H2O, Caret, Scikit-learn
BI & Viz: Looker, Looker Studio, Apache Superset, Google Sheets, Airtable
Languages: Python, SQL, R
ETL/ELT: Dataflow, Cloud Pub/Sub, Cloud Functions, Dataform
Ecommerce: Shopify
Data Science: Predictive Analytics, Segmentation, RFM, LTV, Forecasting, Recommender Systems
THE "CLEAR DATA" DIFFERENCE:
I don't just hand over a file. I walk you through what the data means for
your decision, in plain language, so you're not left interpreting a
dashboard on your own.
Steps for completing your project
After purchasing the project, send requirements so Wilson can start the project.
Delivery time starts when Wilson receives requirements from you.
Wilson works on your project following the steps below.
Revisions may occur after the delivery date.
I review your requirements and share a detailed app architecture.
I build in stages