
John Ani
Birmingham, United Kingdom
John Ani
AI Engineer & Data Scientist
Category : Artificial intelligence (AI)
I’m an AI Engineer and Data Scientist with 5+ years of experience designing and deploying production‑ready machine learning systems across energy, sustainability, digital platforms, and nonprofit analytics.
My work focuses on high‑impact, outcome‑driven solutions, the kind that reduce operational costs, automate manual processes, and unlock new insights for decision‑makers.
I combine:
Deep Python expertise
Systems engineering for regulated, safety‑critical environments
Real‑world experience delivering measurable improvements
Clear, audience‑aware communication
If you need someone who can take a complex problem, break it down, and deliver a working, scalable solution, that’s exactly what I do
My work focuses on high‑impact, outcome‑driven solutions, the kind that reduce operational costs, automate manual processes, and unlock new insights for decision‑makers.
I combine:
Deep Python expertise
Systems engineering for regulated, safety‑critical environments
Real‑world experience delivering measurable improvements
Clear, audience‑aware communication
If you need someone who can take a complex problem, break it down, and deliver a working, scalable solution, that’s exactly what I do
Working hours
- Monday:08h00 To 17h00
- 13h00 To 13h30
- Tuesday:08h00 To 17h00
- 13h00 To 13h30
- Wednesday:08h00 To 17h00
- 13h00 To 13h30
- Thursday:Not available
- Friday:08h00 To 18h00
- 13h00 To 13h30
- Saturday:Not available
- Sunday:Not available
I analysed complex datasets, built ML models, and created visual dashboards to support data-driven strategies and ensure data integrity.
Developed intuitive UI/UX frameworks with AI-powered accessibility features, streamlining access to essential services like food workshops and community programs.
Conducted UX research and behavioral data analysis using AI-based analytics tools, refining digital experiences through user clustering, predictive engagement models, and sentiment analysis to maximize impact.
Conducted UX research and behavioral data analysis using AI-based analytics tools, refining digital experiences through user clustering, predictive engagement models, and sentiment analysis to maximize impact.
Developed EV data models, automated analytics for 50+ charge points, and delivered insights that enhanced energy system performance.
Designed predictive models, automated renewable energy data pipelines, and applied AI to optimise system planning and maintenance.
Applied machine learning to optimise user interactions, developed adaptive systems, and implemented automated testing pipelines.
Masters Degree in Computing(Software Engineering)
B.Eng in Electrical Electronic Engineering
- 🇩🇪 Deutsch
- 🇬🇧 English
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