
CS Undergraduate | Competitive Programmer | An Avid Learner | "Always try to implement my knowledge in pursuing whatever I love to do."
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Chittagong University of Engineering and Technology
Data Scientist
June 29, 2026 – Present
TestAssertionMiner
November 9, 2025 – November 12, 2025
TestAssertionMiner — GitHub repository
View ProjectE-Complaint-Android-Application-Flutter
June 3, 2024 – June 11, 2025
E-Complaint-Android-Application-Flutter — GitHub repository
View ProjectDravidianLangTech-EACL-2024-FakeNews
January 26, 2024 – August 31, 2024
DravidianLangTech-EACL-2024-FakeNews — GitHub repository
View ProjectTeach-Yourself-CPlusPlus-OOP-Herbert-Schildt
June 2, 2023 – June 2, 2023
Teach Yourself C++ book Exercise Solve
View ProjectCompiler-Design-Lab-CSE-432
May 27, 2023 – July 27, 2023
Compiler-Design-Lab-CSE-432 — GitHub repository
View ProjectTask-Scheduling-Using-Reinforcement-Learning-and-DQN
April 12, 2023 – April 12, 2023
Deep Learning Project on Task Scheduling
View ProjectSystem-Design-and-Analysis-of-Sonali-Bank-Bahaddarhat-Chittagong-Branch
April 12, 2023 – June 8, 2023
3rd Year University System Design and Analysis Sessional Group Project
View ProjectMultiple-Disease-Prediction-System
February 4, 2023 – April 11, 2023
3rd Year University AI Lab Machine Learning Project
View ProjectCultural Fit Analysis
The candidate's project portfolio shows a breadth of interests, including compiler design, system analysis, mobile application development, and machine learning. This diversity suggests adaptability and a willingness to explore different technical domains. The projects are primarily personal or university-based, indicating a self-driven learning approach. The current role as 'Data Scientist' at a university, if it involves research or practical application, aligns well with a data science cultural fit, but details are lacking.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. No psychometric or English test scores are available, and project descriptions are brief.