A*****i

- Delivered engaging and interactive lessons that align with the industry standards. - Maintained an active presence on the Slack channel, promptly addressing student queries, providing guidance, and fostering discussions. - Designed quizzes, assignments, and exams that assess student understanding and practical application of concepts. - Provided periodic progress reports and recommendations for student improvement. - Encouraged a collaborative and inclusive learning for students by engaging with students during live classes, ensuring participation and understanding.

Terraskills Learning Systems Limited logo Data Analytics & Data Science Facilitator Data Analytics & Data Science Facilitator Terraskills Learning Systems Limited · Full-timeTerraskills Learning Systems Limited · Full-time Jan 2025 - Present · 5 mosJan 2025 to Present · 5 mos Nigeria · RemoteNigeria · Remote helped me get this job LinkedIn helped me get this job - Recording and continuously updating training videos to meet international online training standards as it concerns Data Analytics and Data Science tools (software). - Teaching a variety of Data Analytics technologies, skills, and best practices across Data Analytics Courses, and Data Analytics Bootcamp through lessons, code-along, and interactive exercises. - Working 1-on-1 with students to provide online training and project support when necessary. - Helped resolve issues and coach through code debugging and technical problem-solving. - Collaborate with other instructors to solve students' experience and lesson delivery issues. - Contribute to the maintenance and improvement of Data Analytics and Data Science courses’ curriculum Roadmap - Contributing to the creation of an inclusive and positive learning environment by regularly reviewing best practices, attending meetings and workshops, and bringing genuine care and personality to interactions - Participating in supporting students and community, and training events. - Liaising with the Bootcamp Coordinator to support and assist in uploading video contents and making learning materials (PDFs, POP Quizzes) to the Terraskills Learn Platform.

Presently working as the Senior Instructor for the Data Analytics and Visualization Department of St. HOMOBONUS Skill Acquisition Centre, Bashorun, Ibadan, under Justice, Development and Peace Commission (an Italian Catholic Alumni Affiliated Centre, established in Ibadan). • Delivering engaging and informative lectures on Data Science and Data Analytics using MySQL, PostgreSQL, advance Excel, and Microsoft Power BI, by covering basic to advanced topics. • Teaching database managements using MySQL and PostgreSQL with data science tools like Python (emphasis on Pandas, NumPy, Matplotlib etc.) and data visualization tools like Microsoft Power BI. • Introducing the principles of database designs, entity relationship modelling, and normalization. • Performance optimization using Indexing, Complex queries such as Joins, Subqueries, window functions, transaction management, Case etc. • Conducting practical lab sessions where students can apply theoretical knowledge to real-world problems using datasets and databases. I teach Advanced Excel for Analytics, Microsoft Power BI for Analytics, Visualisation and Business Intelligence, and SQL for Data Analytics.

• I used data analyzing and visualization tools such as Power BI, advanced level Microsoft Excel and Tableau to analyze data and draw accurate and reliable conclusions to provide insights to upper management and financial team. • I analyzed reports for errors and crafted database solutions to fix the deficiencies and reduce the chances of errors arising again, decreasing overall problems within a year by 60 percent for the Canadian Division of KMS Group of companies. • I used Microsoft Power BI to build information models that offered analytical and calculation views as well as column-based tables to assist in presenting the results of data analysis to management and team. • I also Implemented knowledge of software development life cycle to analyze data regarding internal work efficiency and noted areas of wasted time, increasing total productivity in production by 9 percent. • Furthermore, I turned unstructured and dirty data into useful information to provide insights by auto-tagging images and text-to-speech conversions

• I handled the task of analyzing and creating top-notch visuals with real life scenarios data provided by the company to make informed decisions. • I performed various predictive analysis (for Machine Learning) using Jupyter Notebook – Python application program on data to tell a story and aid better business decision making for the company understudy. • With the use of Tableau, I carried out different analysis and visualizations and created good charts such as heatmaps, histogram, bar-chart etc., to represent the information in the data. • I took on projects like projects like Employee attrition problem, Customer Superstore analysis, Time series and modeling, Sentiment analysis, Predictive analysis, Exploratory data analysis etc., • I ran tests, performed statistical analysis, and interpreted test results while I also documented all my machine learning processes by making well-detailed technical reports and documentation on each of the test runs.