Nahnsu Dawkins

A software engineer and physics master's graduate specializing in fullstack engineering and data science. 4+ years of coding experience. Uses empirical training to build robust and innovative tech solutions.

Skills

  • Full stack software development, using Agile and Scrum methodologies to deliver value
  • Front-end development, using JavaScript and React to build and deploy web applications
  • Back-end development, using Python and Java with SQL for data processing and management
  • Using Docker and Kafka to construct distributed systems, and cloud computing with Azure platform
  • Data science and machine learning with strong use of data visualization techniques
  • Fluency with standard office applications (Excel, Word, PowerPoint), high computer literacy
  • Public speaking and communication in virtual spaces such as Microsoft Teams and Zoom
  • Taking initiative, driving the direction and execution of projects in low-supervision environments

Experience

  • Worked as part of an Agile Scrum team in a LeSS framework to deliver value in bi-weekly sprints
  • Deployed software with a wide tech stack (Java, Python, SQL, React, Azure, Docker etc.) necessitating thorough documentation and end-to-end testing
  • Automated reporting and created dashboards for machine learning models detecting irregularities
  • Built data pipelines using cloud computing platforms while enforcing security practices and compliance with legal and business requirements

The iGEM (International Genetically Engineered Machine) competition is a yearly competition in which university teams produce a synthetic biology original research project. I worked on the 2018 University of Exeter team, where we genetically engineered E. coli to produce oxygen from perchlorate, a toxic compound found on Mars. You can look at our project here. I also volunteered to maintain the women in STEM iGEM page until 2022.
  • Won gold award in a synthetic biology competition by modifying E. coli for space missions
  • Developed mathematical models and data visualizations for an interdisciplinary team
  • Coordinated human practices committee, obtaining industry feedback to manage project goals
  • Built an interactive website for engaging and rigorous science communication

    • Education and Training

    • Built machine learning models in Python, using libraries like NumPy and scikit-learn.
    • Built and trained supervised machine learning models for prediction and binary classification tasks, such as linear regression and logistic regression

    • Trained in software development methodologies and front and back end development
    • Gaining expertise in Java (including Hibernate, Spring, and Maven), SQL, and Javascript
    • Mentored other learners on technical interview questions

    • Completed a four-year integrated undergraduate and master's degree in Physics (MPhys)
    • Master's thesis in solving optimization problems in a quantum simulation, run in Python via distributed system
    • Specialized in coding physical simulations and using computational techniques to solve problems
    • Key modules: Computational Physics and Modelling, Scientific Programming in C, Statistical Physics