I enjoy exploiting data, performing data analysis and employing machine learning and deep learning technologies to solve real-life problems. I have experience with Natural Language Processing, Computer Vision, and combination of both. Sometimes I also like to create web apps and dashboards.
See details, volunteer experience, and awards in the experience and education page.
As a contract data analyst, I work with the Search and Analytics team to help scale the wikidata query service.
Performed data analysis on Wikidata dumps and combined it with user SPARQL queries analysis to identify the most frequently searched Wikidata subgraphs.
Ongoing analysis work: wikitech/User:AKhatun.
Selected as an Intern in Outreachy to work with the Abstract Wikipedia project under Wikimedia Foundation.
Performed data analysis to identify important modules for centralizing in Abstract Wikipedia and source code similarity analysis using unsupervised machine learning.
See more in Abstract_Wikipedia/Data
Performed data analysis and applied machine learning algorithms on computer vision and time-series data for pattern recognition and prediction generation. Used state-of-art face detection models, OCRs, and sensor readings for fall detection. Analysed sleep patterns from sleep-mats to identify abnormal activities at night, and analysed server logs to identify ideal downtime for application release.
See details and online courses I have done in the experience and education page.
Completed undergraduate thesis on Authorship Attribution in Bangla Literature.
Applied deep learning NLP techniques to achieve high performing scalable systems.
Advisor: Md Saiful Islam, Ayesha Tasnim
Core Courses: Algorithm Design and Analysis, Data Structure, Database System, Object Oriented Programming, Software Engineering and Design Patterns, Technical Writing and Presentation, Artificial Intelligence, Introduction to Data Science, Machine Learning
Frameworks and tools: NumPy, Pandas, Spark, Matplotlib, Plotly, Seaborn, SciPy, Scikit-Learn, Keras, Pytorch, Fastai, Tensorflow2
Web Technologies: HTML/CSS, JQuery, NodeJS, React-Redux, Express.js, Flask
GitHub repositories that I've built.
Articles I've written. See all blog posts here.