Receiving Best Performer award from the CEO and Secretary from ICT Ministry.
During my at ADN Diginet, I served as a Data Analyst, where I gained invaluable experience in data analytics and machine learning. My primary focus was on using Power BI to create comprehensive and visually engaging dashboards, making complex data more accessible to stakeholders.
In addition to data visualization, I played a key role in implementing machine learning algorithms, particularly for sales prediction. This involved analyzing historical sales data and applying various machine learning techniques to forecast future trends and support data-driven decision-making.
Data preprocessing was another crucial aspect of my role. I was responsible for collecting and cleaning data from multiple sources, ensuring its accuracy and consistency before analysis. This meticulous process was essential in producing reliable results.
A pleasant spot to commence your day, sipping a cup of tea while delving into the intricacies of research methodology.
At the CENTER FOR COGNITIVE & SKILL ENHANCEMENT (CCSE) lab, my research topic was: "Application of Biomedical Signal Processing, Analysis, and Classification to Identify the Biomarkers of Stroke for Early Prediction and Post-Stroke Recovery."
My work centers on the intricate world of biomedical signals, seeking to harness their potential in the identification of crucial stroke biomarkers. These biomarkers hold the key to early prediction, offering a vital window of opportunity for intervention. By delving deep into the analysis of these signals, my research aims to develop innovative methods to predict strokes at their earliest stages, when interventions are most effective.
Independent University Bangladesh
Currently, I am serving as a Lecturer at Independent University Bangladesh, where my primary responsibility includes instructing undergraduate students in the field of Computer Programming.