Lab Demonstrator
Durham University
Total years of experience :8 years, 3 Months
Created visual aids such as diagrams, charts, graphs, etc. to enhance the learning experience. Organized data collection and evaluation processes for student projects. Conducted research pertaining to new technologies available for use in laboratories. Assisted in preparing materials for hands-on experiments and activities. Facilitated discussion among students about their findings from completed experiments.
Trained, mentored, and provided guidance to junior developers in the team. Created detailed project plans, including timelines, resource requirements, and milestones. Collaborated with product owners to define the scope and objectives for new products or features. Analyzed training needs to develop new training programs and modify and improve existing programs. Utilized data analysis techniques to identify key areas for improvement in existing training materials. Researched emerging technologies like AI and ML and blockchain for their potential use cases in our products. Arrange on-the-job training for new hires. Collaborated with business partners across various departments to develop customized learning solutions. Arranged for ongoing technical training and personal development classes for staff members. Analyzed user feedback and identified areas for improvement in existing applications.
Analyzed data trends and created visualizations for management review. Collaborated with other departments to ensure data accuracy and integrity. Implemented visualizations and dashboards to help senior management make informed decisions. Created business intelligence tools and systems, including design of related databases, spreadsheets, and outputs.
Identified and analyzed industry and geographic trends with business strategy implications. Utilized various business intelligence tools to identify and monitor current and potential customers. Create visual representations of data with charts, graphs, or infographics. Developed and maintained databases to store, track, and analyze customer data.
Grounded and solution-oriented in computer science and engineering. I am keen to deepen my research in data science and machine learning because I see myself in this field by studying in previous years the acquired skills in research and develop advanced techniques as mathematics, problem solving, experimentation, data analysis, computer and technology knowledge and Technical writing.
Proven skills in developing machine learning as demonstrated as part of my academic studies techniques and having strong coding skills. Ability to develop statistics, build models as well as prediction. Excellent communication skills; both verbally and written. Eager to secure relevant work experience and would like to be given the opportunity to showcase my academic learning within a practical working environment. Strive to meet targets and deadlines, always working to a high standard. Flexible and can learn new skills quickly and welcome additional training to further enhance my skill set and knowledge. Emerging database technologies (BI - Business Intelligent and Data Warehousing), advanced data analytic (Data mining, Statistic, Machine learning, deep learning and IoT), Interactive graphics, Research methods and Quantitative Visualization (self-map tracking to improve productivity).
Key Modules Digital Control and DCS, Modelling and Control for Power Electronic Devices, Advanced Sensors, Control, Laplace Transforms, Calculus, Embedded Systems, Linear Systems and Control. Final Project-Dissertation (Fuzzy Logic Controller) The aim of the project was to control the temperature of a heater using an electronic circuit and compare it with some control design method and applying fuzzy logic algorithm. Project experience Group Design Project (designed an electronic circuit to define electrical, electronic and instrumentation problem. Gave an understanding of knowledge, limitations and the importance of collaborating with other members of a group).