John Dee
London
Summary
Led and commissioned a project providing solar energy to a 20-unit apartment block, overseeing the end-to-end design, optimisation, and implementation of the solar and battery systems. Developed and successfully deployed a machine learning forecasting model, predicting power outages across South Africa. Simultaneously excelled at a leading solar PV solutions company for 2+ years, achieving First Class Honours in both undergraduate and postgraduate degrees. Forthright Consultant Engineer with 3 years of providing accurate and concise assessments of ongoing projects and aiding in initial project design. Employ proven analytical techniques to expose weaknesses or flaws in development plans. Experienced at enhancing outcomes by applying evolutionary iteration to deliver exceptional final products quickly.
Overview
3
3
years of professional experience
Work History
Data Engineer Intern
Dark Matter Media
01.2019
- Data management, SQL, HTML, CSS, JavaScript, React
- Data Visualisation: Utilised Power BI to transform intricate data into accessible and actionable insights, supporting the effective management of sustainability metrics and KPIs
- Data Management: Organised, compiled, and catalogued client inventory
- Optimised inventory management system utilising SQL databases, Python and Microsoft Excel spreadsheets
- Data Cleaning: Developed and maintained data governance processes, including data quality assessment and data classification
- Front-end Web Design: Built dynamic and responsive user interfaces for web applications for clients using JavaScript and React
- PERSONAL DEVELOPMENT
- IBM Machine Learning Professional Certificate 2022
- IBM Coursera
- Acquired knowledge and understanding of the fundamentals of machine learning algorithms, ranging from supervised regression to unsupervised learning and deep learning algorithms, using Python
- Maths for Machine Learning 2022
- Imperial College London Coursera
- Learnt fundamental mathematical tools used in machine learning algorithms, such as multivariate calculus and principal components analysis
- Simulation and Modelling of Natural Processes 2021
- University of Geneva Coursera
- Studied modelling methodologies and simulation tools for natural phenomena ranging from fluid motion to population evolution, using Python.
Lead Data Analyst
Wetility
01.2021 - Current
- Hybrid
- Skills: data analysis, Python, scikit-learn, predictive modelling, project management, strong teamwork skills, problem- solving, analytical skills
- Project Management: Led a residential apartment solar systems project, managing the end-to-end design and conducted site inspections
- Optimised energy generation and cost savings for the project
- Ensured construction plans met the guidelines and specifications of building codes and quality checks
- Data Modelling: Identified times of waisted heating energy, and shifted energy consumption to peak solar production, resulting in up to 60% energy savings, through analysing customer electricity consumption patterns using DBSCAN
- Presented findings to customers and stakeholders in the company
- Time-Series Forecasting: Developed and successfully deployed a time-series SARIMA model forecasting national energy supply and demand within a 5% error tolerance, using Python and scikit-learn
- Operation Optimisation: Optimised installation operations by developing a systems management platform using APIs
- Resulting in an increased 25% installation efficiency through reduced manual processes and job scheduling
- Product Development R&D: Collaborated across multi-disciplinary teams including engineers and product managers
- Researched, designed, and launched a new residential solar inverter and battery solution
- Time Management: Successfully managed a flexible work environment, pragmatically handling work responsibilities while simultaneously earning a First in both bachelor’s and master's degrees.
Education
MSc - Energy Systems and Data Analytics
University College London
2023
BEng - Electrical and Electronic Engineering
University College London
2022
Skills
- SQL Server Database
- Risk Analysis
- Data Cleaning, Formatting, Visualisation
- Machine Learning
- Microsoft Azure
- Python
- Javascript
Timeline
Lead Data Analyst
Wetility
01.2021 - Current
Data Engineer Intern
Dark Matter Media
01.2019
MSc - Energy Systems and Data Analytics
University College London
BEng - Electrical and Electronic Engineering
University College London
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