Afra Antara Anjum

Hello! I am a Computer Science graduate student at The University of British Columbia, specializing in Machine Learning and Artificial Intelligence. My research focuses on explainable time-series forecasting, utilizing advanced models like Transformers and RNNs to solve real-world challenges. With four years of hands-on experience in machine learning, data analysis, and optimization, I have developed impactful solutions, including automating gas production forecasting and classifying medical images with CNNs. Proficient in tools such as TensorFlow, PyTorch, and Docker, I excel in designing and deploying AI systems. My work has been recognized through publications and awards, reflecting my dedication to advancing AI research. Beyond technical expertise, I bring strong leadership, problem-solving, and communication skills. I am passionate about driving innovation in AI and data science to create meaningful societal impact and aspire to contribute as a dedicated researcher in this ever-evolving field.

Education

The University of British Columbia

Master of Science in Computer Science

September 2023 - Present

Courses:

• Deep Learning
• Numerical Optimization
• Modelling and Simulation
• Advanced Algorithms
• Parallel Programming

Brac University

BSc. in Computer Science and Engineering

January 2018 - January 2022

CGPA: 3.99 / 4

View Transcript & Certificate

Awards:

• Appeared in Vice Chancellor's List for 11 consecutive semesters.
• Recieved 75% Merit Based Scholarship since Spring 2019, for 9 consecutive semesters.
• Recieved 50% Previous Academic Result-Based scholarship from Spring 2018 to Fall 2018.


Manarat Dhaka International School and College

Cambridge International Examinations

A levels and O levels


Presented Research Papers

A Decentralized Employee Performance Appraisal Framework for Recruitment, Performance Prediction and Ranking using Permissioned Blockchain and Machine Learning.

Authors: Anjum, A.A. , Majumder, S., Islam, S., & Alam, M.G.R.

Presented At: 9th IEEE Asia-Pacific Conference on Computer Science and Data Engineering (CSDE) 2022

BoMaCNet: A Convolutional Neural Network Model to Detect Bone Marrow Cell Cytology

Authors: Abeed, A.S., Atiq, A., Anjum, A.A., Efat, A.A. & Karim, D.Z.

Presented At : 25th International Conference on Computer and Information Technology (ICCIT) 2022

Work Experience

University of British Columbia, Okanagan Campus

Graduate Research Assistants

September 2023 - Present

Research Description:
• Supervised by Dr. Yves Lucet, collaborating on an industry-affiliated project with British Columbia Energy Regulator (BC-ER).
• Developing explainable time-series forecasting models for gas well production using state-of-the-art techniques like LSTMs, RNNs, and Transformers.
• Conducting data analysis, writing complex SQL queries to extract relevant data, and utilizing tools like Pandas and Seaborn for meaningful insights and decision-making.
• Designing and automating pipelines, including a Decline Curve Analysis (DCA) system that reduced manual overhead by 80% while ensuring accurate predictions.
• Leveraging frameworks like TensorFlow and PyTorch, along with Docker, for efficient and scalable machine learning workflows.

Graduate Teaching Assistant

September 2023 - Present

Courses Taught:
• COSC 122: Computer Fluency
• COSC 101: Digital Citizenship
• COSC 222: Data Structures

Daraz Bangladesh - Alibaba Group, Dhaka, Bangladesh

Assistant Product Manager - Technology Department

May 2023 - August 2023

Led SCRUM meetings and managed six core systems, ensuring smooth operations and efficient feature deployment. Successfully launched four systems across multiple countries, increasing efficiency by 70%. Mentored interns and developed product roadmaps for seamless execution of system launches.

Management Trainee: Product Owner - Technology Department

May 2022 - April 2023

Managed six systems as a Product Owner, focusing on backlog prioritization, API integration, and roadmaps. Achieved a 25% reduction in deployment time and enhanced software quality by 40% through rigorous UAT testing. Recognized as Employee of the Month in March 2023.

Management Trainee: Data Analyst - Strategy and Planning Department

November 2021 - April 2022

Specialized in data analysis and forecasting, developing models to improve subsidy allocation accuracy by 30%. Built performance dashboards for executive decision-making and analyzed trends using SQL and Excel to enhance campaign planning.

Daraz Logo

Brac University, Dhaka, Bangladesh

Contractual Lecturer

September 2022 to April 2023

Courses Taught:
• CSE220: Data Structures
• CSE260: Digital Logic Design
• CSE341: Microprocessors

Undergraduate Teaching Assistant

Courses Taught:
• Digital Logic Design (CSE260), Spring 2020 and Fall 2020
• Computer Interfacing (CSE360), Summer 2021
• Artificial Intelligence (CSE422), Fall 2021

Bonton Connect, Dhaka, Bangladesh

Machine Learning Engineer

August 2021 to September 2021

Contract based job where I worked on Template Matching in OpenCV, Flask application and Parallel programming.

Mentors' Education, Dhaka, Bangladesh

Spoken English Language Instructor

November 2018 - October 2021

Projects

All the codes of these projects can be found in my github repository

Semantic Book Recommender

A smart book recommendation system that uses AI to suggest books based on meaning rather than just keywords. Users can search for books using natural language, and the system provides relevant recommendations. To see the project click here

Real-Time Emotion Recognition System

A deep learning-based system that detects facial emotions in real time using a CNN model and OpenCV. It processes webcam video streams to classify emotions and display results dynamically. To see the project click here

Emp.site

A employee verification website which is inspired by LinkedIn. Employees can sign up and add their job details. Meanwhile companies can check employees working for companies. To see the project click here

Finger Counter

An computer vision project made using python libraries opencv and mediapipe. Pycharm is used to develop it. Computer can read the number of fingers shown in webcam and return a similar picture showing that number of fingers. To see the project click here

Hungry Snake

A 2D snake game made using java swing in Eclipse. This is just like the snake games played in old phones. To see the project click here

PID implemented Line Follower Robot with Obstacle Detection

Designed a PID implemented Line Follower Robot in webots which can detect obstacles in its view and avoid it by changing direction. To see the project click here

Foster-Care Mangement System

This project is made using html, css, PHPmyAdmin and mySQL is used as database. The project was coded in sublime. In the foster care management system foster children and foster care home database is managed and it allows users to request to adopt children from foster care. Users can search children, select children.

Khelbo Na Sikhbo

This is an assembly language based project made in Emu8086. Khelbo Na Shikhbo is a quiz game that gives questions in randomized order.

Employee Management System

This is a desktop based employee management system made in java.To see the project click here

Smart Irrigation System

This is a virtual project made using proteus, labview, arduino and virtual com-port. The system detects soil moisture and water level in tank to control the pumping of water in soil and tank automatically. To see the project click here

Certifications

Certified SCRUM Product Owner

issued by Scrum Alliance

December 2024

Linear Algebra for Machine Learning

issued by DeepLearning.AI

February 2025

Extra-Curricular Activities

Winner of "Most Ethical Hack" at BCHacks 5.0, 2024

organized by Computer Science Course Union at the University of British Columbia

• Developed VR solution called "SpaceZen VR" for the prompt "Aiding life in space"
• Worked on product specifications, product design, testing and documentation.
• Used C#, Unity, Sketchfab and Oculus for the project.

Winner of Dorchestra, 2020

organized by IEEE PES BRACU Student Branch Chapter 2020

This was a documentary making compitition wher my team and I made a documentary about the journey of Nuclear Power
since its bith to its prospective uses.

Semi-Finalists of Pioneros 3.0, 2019

organized by BUET Entrepreneurship Development Club

This is a tech-business Idea competition where my team reached the top 20 semi-finalists.

Contact



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