Building performance
Dynamic thermal modelling, UK compliance work, overheating assessment, operational-energy review and first-principles checks across fabric, systems, ventilation, gains and thermal comfort.
About Iko
Building performance, sustainability and data in one technical profile.
Iko Tambaya is a UK-based professional working across building performance, sustainability, low-carbon design, AI and data science, with right to work in the UK. His work connects energy modelling, carbon analysis, environmental data and digital products.
A cross-domain technical profile
Iko's foundation is in Building Technology and sustainable built-environment design, strengthened by an MSc in Artificial Intelligence and Data Science. That mix shapes the work: physical building behaviour, data quality, model validation and technical communication are treated as connected problems.
Recent experience spans building-performance product development at Urbis Consulting, carbon and sustainability research with Eco Centre UK, building-emissions data work with Green Building Council Nigeria, and infrastructure delivery support for Kaduna State Government.
Whether the output is an IES VE model, a dashboard, a carbon calculation or a machine-learning model, the focus is on useful analysis and clear technical communication.
Work with IkoCredentials
- MSc Artificial Intelligence & Data Science, University of Hull (2025)
- MSc Design & Management of Sustainable Built Environment, University of Reading (2021)
- BTech (Hons) Building Technology, Federal University of Technology, Minna (2017)
- Domestic Energy Assessor Level 3 and Retrofit Assessor Level 4
- Graduate Member, CIBSE; Member, Green Building Council Nigeria
Public contact: info@ikotambaya.com
Capability
Technical capability across buildings and data.
Sustainability and low-carbon design
GHG accounting concepts, activity-data structuring, DEFRA-factor analysis, BREEAM evidence, low-carbon interventions, retrofit assessment and net-zero scenario thinking.
AI and data science
Python and SQL analysis, sensor/time-series processing, machine learning where justified, model validation, Power BI/Tableau dashboards, reporting automation and live digital product delivery.
- IES VE, ApacheSim, DSM/SBEM, BRUKL, EPC, Part L, Part O, TM52 and TM59 work
- GHG Protocol principles, Scope 1-3 concepts, DEFRA conversion factors and carbon data validation
- Python, SQL, pandas, NumPy, scikit-learn, TensorFlow/Keras, Power BI, Tableau, Excel and Power Query
- Requirements definition, Gantt planning, Earned Value Management, risk tracking and stakeholder reporting
Selected work
Projects behind the profile.
Product development, 2025-present
BuiltIQ Adaptive
Building-performance product work connecting building physics, operational data and carbon analysis with practical recommendations.EKOLAY Team / University of Hull, 2025-present
StreamDash
Collaborative environmental monitoring platform presenting 15M+ readings from 303 sensors across six locations.MSc dissertation, 2025
Indoor environmental quality prediction
Hybrid deep-learning and optimisation framework using two years of sensor, weather and energy data across 15 building zones; final performance reached R2 0.94 and RMSE 0.25 on the dissertation data.UK housing, 2025-2026
Energy, carbon and retrofit assessments
Completed lodged EPCs for five homes and two PAS 2035 retrofit assessments, with property-specific review across fabric, services, occupancy and improvement options.Recognition
Awards, memberships and technical development.
- University of Hull Sustainability Design Competition Winner - EKOLAY Team / UPP Foundation (2025)
- Service Award - Green Building Council Nigeria (2024)
- Kaduna State MSc Scholarship (2020)
Technical development includes IES VE UK Compliance training, IES VE Summer School, One Click LCA courses for whole-life carbon and BREEAM LCA, and ASHRAE/USGBC high-performance building design training.