About me

•Ambitious and experienced Data Analyst, adept at developing data-driven narratives that enhance decision-making.Acknowledged as a strong team leader with the ability to work well with others and complete projects within the deadline. Open to learning new technologies and contributing to products that combine creativity and automation. I’m looking for a role where I can utilize my expertise and abilities to support effective solutions and provide high-quality outcomes.

•Focused Research Assistant pursued a degree in Computer Science from University of South Dakota (August 2021 to December 2022). Worked to advance research into predictive analysis with machine learning model. Self-motivated professional with excellent communication, planning, and problem-solving abilities. Skilled in creating efficient systems to organize and manage experimental data. Holds strong learning capabilities and gained hands-on experience in Artificial Intelligence area.
• Familiar with how to develop some visual representation using the Power BI and Tableau interfaces. Data cleansing and modeling and producing reports
•Dedicated Software QA Engineer bringing 2.5+ years of working experience with different types of testing in Functional, Integration, API & Regression testing. High level of attention to detail with strong analytical and troubleshooting capabilities. Proficient understanding of full software development lifecycle. Self-motivated and Data-driven.

Research interest: Artificial intelligence, Deep Learning, Machine Learning, Bioinformatics, Health diagnosis, Federated Learning, Internet of things(IoT)

Technical Skills:
Visualization Tools: Power BI and Tableau
Programming Language: Python, C/C++
Machine Learning/Deep Learning: Scikit-Learn, Numpy, Pandas, TensorFlow, Keras, Librosa, OpenCV
Data Visualization: MAtplotlib, Seaborn, ggplot2
Database: Experienced in SQL Server

Work Experience

Data Analyst
Algorizin 2022-12-01 - 2023-07-01 •Created and deployed a Power BI dashboard to enable data-driven decisions for different stakeholders based on data analysis •Acquired, analyzed, interpreted data from primary/secondary sources for insightful decision making •Developed a comprehensive data model using 22 years of data; increased the talent acquisition funnel’s efficiency by 50% by filtering out unsuitable leads •Collaborated with a cross-functional team to analyze the origin and enrollment data of international students in the USA, URL


University of South Dacota
Masters of Science in Computer Science 2021-08-01 - 2022-12-01 •Published 5 conference papers in IEEE Xplore and IEOM •Presented "Predicting Bank Loan Eligibility Analysis" at 7th IEOM •Presented on "Federated Learning for Lung Sound" at the USD
American International University of Bangladesh
Bachelors of Science in Computer Science 2014-05-01 - 2017-12-01
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