Imranul Islam Adnan graduated with a BSc from Ahsanullah University of Science and Technology with a degree in computer science and engineering. He has published various papers on topics ranging from computer vision to time series analysis and machine learning across diverse fields, including agriculture, human health, weather forecasting, and domestic animals. Adnan has experience making sophisticated websites using the MVC Framework, ASP.net, and MSSQL as Databases with a significant emphasis on OOP. He is proficient in statistical and programming tools, including STATA, Python, C++, and JavaScript. At ARCED Foundation's SoTLab, he engages in projects focused on machine learning and computer vision. One notable project involved digitalizing an MCQ Sheet question paper to Excel and streamlining the process. Additionally, he develops applications for research assistants, enabling them to manage large datasets effectively while ensuring data integrity through Python Shiny. He excels in data visualization, making complex results easily understandable for a wider audience. Adnan has a solid programming background and is enthusiastic about applying his technical skills to carry out quantitative and qualitative research. He aims to use real-time data collection methods and engage in projects across diverse areas.