BenFaruna
About Me
Enthusiastic software developer with years of service in assisting the community and over 3 years of experience in software development. Smart, capable, apt to teach, patient and passionate with a growth mindset. Highly organised with a dedication to personal development. Expertise in backend web development, web automation, web scraping, machine learning and data analysis
Education
Federal University of Technology Minna, Niger state, Nigeria
Thesis: Title: Production of Biogas from Animal (Goat) Droppings Conducted an in-depth research project focused on the production of biogas using animal (goat) droppings as a renewable energy source. Designed and implemented experimental procedures to optimize biogas production efficiency, including substrate preparation, anaerobic digestion, and gas collection methods. Analyzed and interpreted experimental data to evaluate the effectiveness of different process parameters on biogas yield and composition. Collaborated with faculty advisors and research team members to develop innovative solutions for sustainable energy generation and waste management. Presented research findings through written reports and oral presentations, demonstrating critical thinking, analytical skills, and scientific communication abilities.
Work & Experience
Data science instructor
New Horizons
- Design and deliver comprehensive training sessions on Python programming and Data science for trainees of diverse levels and backgrounds. - Facilitate hands-on coding exercises and practical assignments to reinforce learning objectives and enhance proficiency in Data science. - Engage students in collaborative problem-solving activities to encourage creativity, innovation, and teamwork. (Encouraged cross-collaboration among trainees through group discussions, projects, and presentations) - Help hone trainee critical thinking and problem-solving skills by encouraging creativity, innovation, and teamwork (find a way to incorporate the word “led”)
Data Annotator
Hugo Technologies
- Providing quality data, being used to train AI models. - Conduct thorough quality checks on annotated data to maintain high standards of accuracy and consistency. - Follow established annotation guidelines and protocols meticulously to ensure uniformity and consistency across annotated datasets.
Software Engineering (Backend)
ALX
This is a 12-month, 100% online digital learning experience. The program is divided into 4 learning sprints, each lasting 12 weeks. Learners will need to dedicate about 70 hours per week to the program. The program covers a wide range of topics, including C programming, graphic programming, Unix programming, data structures & algorithms, reverse engineering & security, Python, front-end development, and Linux/command line. In addition to the core curriculum content, learners will also have access to a squad-based community, technical mentors, and the Intranet, a learning communication and engagement platform. To graduate from the program, learners must achieve an average score of 80% in the foundations stage and have assigned specialization tracks to them. They must also be able to create a complete web service from databases, back-end, and an amazing front-end website with the latest technologies.
