---
title: "I will deliver senior-level machine learning and data science solutions with full deployment — per hour"
url: https://zinnhub.com/zinns/i-will-deliver-senior-level-machine-learning-and-data-science-solutions-with-full-deployment-per-hour/
description: "Senior ML engineering and data science — predictive modelling, computer vision, time-series forecasting, and process automation, fully deployed on GCP or Hugging Face. End-to-end delivery from raw data to live, production-ready systems that solve real business problems."
published: 2026-03-19T12:33:50+00:00
modified: 2026-03-19T12:33:50+00:00
language: en-GB
---

# I will deliver senior-level machine learning and data science solutions with full deployment — per hour

This is my senior-tier machine learning and data science service for projects that demand deeper expertise, more complex architectures, and full production deployment.

I build and deploy complete, end-to-end machine learning systems that go from raw data all the way to live, user-facing applications. With 15 years as a creative lead before transitioning into ML engineering and data science, I bring a rare combination of technical depth and strategic business thinking. Every solution I build is engineered to solve a specific operational problem — not just demonstrate a technique.

This service covers the full spectrum of ML and data science disciplines: predictive modelling for business forecasting and decision support, computer vision using deep learning and convolutional neural networks, time-series forecasting for demand planning and operational intelligence, process automation and business tool development, and full deployment pipelines including CI/CD on Google Cloud Platform and Hugging Face.

My deployed portfolio demonstrates the depth and range of what I deliver. For predictive maintenance, I engineered an autoencoder-based anomaly detection system that identifies irregularities from audio using mel spectrograms — fully deployed on GCP and shortlisted at the ITEC Regional Competition in Beijing. In health tech, I built a complete migraine prediction application on Hugging Face that forecasts attacks based on environmental triggers and user logs. For the food and beverage industry, I developed a dedicated demand forecasting model for restaurant inventory optimisation. In computer vision, I deployed a CNN-based plant disease classifier on GCP with a live user-facing frontend. And for education technology, I built an automated AI-powered grading application to streamline educator workflows.

My tech stack includes Python, TensorFlow, Scikit-Learn, MLflow, Hugging Face, Docker, and GCP — supported by deep experience in ETL pipelines, data preprocessing, feature engineering, and automation using Make and n8n.

This is my premium-rate service, reflecting the seniority, complexity, and production-grade quality of the work delivered. Please message me before ordering so we can thoroughly scope your project, define the deliverables, and agree on the hours required. Then simply select the number of hours as your quantity at checkout.

Let’s engineer a deployed solution that transforms how your business operates.