Hi, I'm Jahid Hasan. As an experienced software engineer with a deep passion for data science, machine learning, and artificial intelligence, I'm dedicated to developing innovative solutions that leverage data to solve complex problems. I have a strong foundation in web application development, database management, and data analysis, with a proven track record in both junior and senior roles in the software industry. Currently, I'm pursuing an MSc in Data Science at Eastern University, where I'm expanding my expertise in advanced data analysis, machine learning algorithms, and AI technologies.
At Ludwig Pfeiffer, I enhanced my skills in web application development and database management, working with tools like SQL, Pandas, Power BI, and Excel. My experience also includes leveraging software development tools such as Microsoft Power Apps, SharePoint, Power Automate, and Google AppSheet. During this time, I built web solutions and optimized data processes, gaining valuable insights into automation and workflow efficiencies.
During my time at Tappware Solutions, I focused on data analysis and pipeline development for large-scale, e-governance projects. Here, I worked with big data techniques, predictive modeling, and machine learning web APIs. I implemented REST APIs for machine learning models using Django REST Framework and PostgreSQL, solidifying my skills in creating scalable, data-driven applications.
At Qtec Solutions, I gained extensive experience with machine learning and statistical techniques, including data mining, sentiment analysis, predictive analytics, and natural language processing. I utilized tools such as MySQL, Excel, and Python to develop strategic insights for marketing and customer sentiment analysis. My projects often involved web crawling, data pre-processing, and parsing complex HTML and XML documents.
I'm in for both research and development. Currently doing my graduate thesis work on Big Data Mining, Digital Image Processing, and Artificial Intelligence. I've listed some other topics even though they are out of my league. I hope to work on these in the future.
Research on multilingual transformer models and their cross-domain transfer capabilities for detecting subjectivity in news articles across different languages. This work explores the effectiveness of modern NLP architectures in handling cross-lingual subjectivity detection tasks.
Behavioral patterns, segmentation, and trend discovery using advanced data visualization techniques.
Identifying high-value customers and evaluating marketing effectiveness through data-driven analysis.
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