As an experienced educator, I teach Mathematics and Science to Primary and Secondary School students online using Google Meet and Microsoft OneNote. My classes are engaging and interactive, tailored to accommodate various learning styles.I design a structured curriculum aligned with educational standards, emphasizing practical applications and critical thinking. Each class includes live demonstrations, collaborative exercises, and multimedia resources to enhance learning.Using Microsoft OneNote, I provide comprehensive notes after each class, summarizing key points, additional resources, and practice problems. Google Meet allows for real-time interaction, enabling immediate feedback and personalized support through group discussions and one-on-one sessions.My goal is to inspire a love for learning and equip students with the skills and knowledge they need to excel. I focus on critical thinking, problem-solving, and effective communication, fostering a collaborative and inclusive environment that builds confidence and prepares students for future academic success.

Teaching Maths and ICT courses to primary and secondary school students. Instrumental in devising effective instructional programs, targeting individual learning gaps to meet the needs of at-risk students, and making learning fun for young learners of all ages.

Collaborate directly with school administrators and staff in the development, implementation, and evaluation of STEM initiatives and curriculum.Provided in-house training to new employees concerning the maintenance of standardized training approaches.Analyzed training, student outcomes, and course delivery metrics to produce reports for senior management.Assessed staff performance and training effectiveness, capitalizing on opportunities to develop new training programs and improve existing courses.

Gathered, arranged, and corrected research data to create representative graphs and charts highlighting results for presentations.Planned, modified, and executed research techniques, procedures, and tests. Performed statistical, qualitative, and quantitative analysis. Maintained and calibrated various types of lab equipment.Analyzed and processed gigabytes of structured and unstructured data sets containing Raman intensities of diamond-like carbon (DLC) thin films for estimating graphite-to-tetrahedral diamond ratio or simply known as the firmness of the film.For determining the ratio of the film's firmness, together with using Gaussian peak fitting and the sum of squared errors of prediction (SSE) as one of the common techniques in machine learning algorithms (MLA), for finding a suitable point of measurement, where all this can be done using MATLAB.