Aisha Khatun

My Interests

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.

Data Analyst
Wikimedia Foundation

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.

Outreachy Intern
Wikimedia Foundation

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

Machine Learning Engineer
Therap BD Ltd.

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.

Research Assistant

Worked on developing large datasets and implementing transfer learning based deep learning approaches for Authorship Attribution in Bengali Literature, thus far surpassing the existing systems. Work available in GitHub. Datasets available in Mendeley.


See details and online courses I have done in the experience and education page.

Shahjalal University of Science and Technology

B.Sc. in Computer Science and Engineering
CGPA: 3.89/4.00 (2nd in Class)

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
Thesis Report

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


Technical Skills

Languages: (Proficient) Python, SQL, SPARQL, Javascript, C++ (Comfortable) Java, PHP, Scala

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

My Projects

GitHub repositories that I've built.

This repository contains some collection of my machine learning, deep learning and AI projects. This includes Kaggle, Courses and Personal projects.
Jupyter Notebook 0 0
A social networking Web App aiming to make group interaction easier and more organized. Features include posting, commenting, files upload and file/folder organizing system along with a group shared whiteboard API for group sharing experiences, all within one or more groups as organized by the members of a group.
A MERN web app to track our lives! From food, health, todos to habit tracking and much more. Even add customizable activities to track and display your desired dashboards.
JavaScript 0 0
Contains my codes for various programming competitions and practices including learning Data Structure and Algorithms.
HTML 0 0

Blog posts

Articles I've written. See all blog posts here.