RASEL MAHAMUD
Data Analyst
I am a highly efficient and organized Data Analyst with strong leadership skills, the ability to motivate others, and a track record of successful collaboration in both individual and team settings. I am enthusiastic about acquiring new knowledge, dedicated to achieving excellence in my work, value punctuality, and prioritize honesty in all aspects of my professional life.
Research Interests
I am a recent graduate with a BSc in Computer Science and Engineering from Varendra University, driven by a passion for exploration and discovery. My academic background and skills have equipped me with expertise in Machine Learning, Data Analytics, Statistics, Hypothesis Testing, and Forecasting. As an aspiring researcher, my interests converge at the intersection of cutting-edge technologies and real-world problem-solving.
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Advanced Machine Learning Applications: I am enthusiastic about exploring novel applications of machine learning algorithms in diverse domains. From computer vision to natural language processing, I aim to contribute to the development of intelligent systems that can adapt and evolve in dynamic environments.
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Data-Driven Decision Making: My focus extends to leveraging data analytics techniques to inform strategic decision-making processes. I am interested in exploring how organizations can extract actionable insights from vast datasets, enabling data-driven strategies for improved efficiency and effectiveness.
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Statistical Modeling and Inference: Statistical methodologies form the backbone of robust research. I am keen on delving into advanced statistical modeling and inference techniques to draw meaningful conclusions from data, facilitating a deeper understanding of complex phenomena.
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Hypothesis Testing and Experimental Design: Understanding the principles of hypothesis testing and experimental design is crucial for designing reliable studies. I aim to contribute to the refinement of experimental methodologies, ensuring the validity and reliability of research findings.
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Forecasting and Predictive Modeling: The ability to forecast future trends and outcomes is paramount in various fields. I am interested in developing predictive models that harness the power of data to anticipate trends, enabling proactive decision-making in areas such as finance, healthcare, and environmental science.
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In my research journey, I aspire to contribute innovative solutions to real-world challenges, pushing the boundaries of knowledge in the fields of Machine Learning, Data Analytics, and Statistics. I am particularly motivated by the prospect of making a positive impact through the application of cutting-edge technologies and rigorous research methodologies.
Publications
Evaluation of Facebook Addiction and its Associated Factors among Varendra University Students: A Cross Sectional Survey Study. (January–December 2019).
Presented on 7th International Conference on Data Science and SDGs: Challenges, Opportunities and Realities. (19 December 2019)
Organized by: Department of Statistics, University of Rajshahi, Bangladesh.
Modeling and Forecasting Particulate Matter Using Machine Learning Algorithm.
(May 2020 – May 2021).