Jose Nicolas Melchor Gutierrez, Ph.D. Email & Phone Number

Glossop, GB

Warwick, England, United Kingdom

Wokingham, England, United Kingdom

• Developed a Python-based algorithm, which uses PowerFactory, to automate and optimise reactive power asset settings, enhancing UK transmission network voltage profiles and reducing optimisation time from days to minutes.
• Implemented Test-Driven Development (TDD) practices to ensure robust, scalable code base development. Resulted in the release-ready state of code, proactive error handling, and accelerated feature delivery.
• Collaborated with business analysts and product owners to refine user stories and acceptance criteria, ensuring software alignment with business needs and providing clear deliverables.

Manchester Area, United Kingdom

• Developed a Python-based automation tool to streamline financial reporting for team leaders, significantly reducing analysis time from hours to seconds and enhancing data-driven decision-making.
• Led client engagement and proposal development for £80k+ transmission capacity and demand analysis project, securing new business through strategic collaboration and negotiation.
• Mentored a struggling team member, facilitating task breakdown and collaboration for improved project delivery and team morale.
• Participated in the recruitment process, including resume screening, candidate interviews, and selection, to onboard a talented new team member.
• Integrated front-end (JavaScript, React, NodeJS) and back-end Python components for a complex power system analysis tool that performs sub-synchronous oscillations analysis, ensuring seamless user experience.
• Researched and analysed novel inertia metrics for power systems with high penetration of non-conventional generation, contributing to a successful client report.

Manchester, England, United Kingdom

• Accelerated client project delivery by developing a Python-based automation solution for electromagnetic transient stability analysis with ERACS.
• Analysed network upgrade costs for Scotland's energy transition, integrating transport projections and DFES to inform future energy bill models.
• Prepared historical data for machine learning analysis using regression algorithms for pump hydro storage and battery operation forecasting using Python and data from Elexon Data Portal and client's internal data.
• Developed Python automation for smart metering data retrieval and storage (SQL). Facilitated efficient voltage fluctuation analysis for client's pilot project.

Manchester, England, United Kingdom

• Accelerated DC optimal power flow simulator performance by 4-10x through code profiling, data structure optimisation, and integration of a high-performance solver CLP (Python, Cython, C++).
• Developed a Python-based stochastic optimisation tool for distribution expansion planning to enhance flexible resource optimisation, leveraging C++ and the CLP solver.
• Employed profiling tools to identify performance bottlenecks in existing codebase, demonstrating analytical problem-solving approach.
• Proactively integrated a more efficient mathematical solver (CLP) to significantly boost application speed, showcasing initiative and flexibility.
• Contributed to research projects exploring co-simulation of water and energy systems and distribution expansion planning, highlighting cross-disciplinary engagement.

Murcia, Región De Murcia, Spain

• Spearheaded the initial draft of the Horizon 2020 project proposal, playing a pivotal role in laying the groundwork.
• Collaborated extensively with consortium partners, refining and enhancing the draft to shape the definitive proposal.
• Actively contributed to the final proposal formation, which successfully secured a project valued at €5M.

Doctor Of Philosophy - Phd, Electrical Engineering

• Analysed more than 10 different mathematical modelling formulations for the application problem of optimal dispatch of electric.

Master'S Degree, Electrical Engineering, Distinction

• Implemented in C++ a mathematical linear solutions technique to solve the electrical problem of DC optimal power flow that was up to 4.

Bachelor'S Degree, Electrical And Electronics Engineering, First Class With Honours

• Implemented mathematical cuts on the DC Optimal Power Flow mathematical model for the transmission expansion planning problem for the.