Welcome!
I am Nazia Shehnaz Joynab.
I am Nazia Shehnaz Joynab.
An enthusiastic learner. Love designing, developing and programming. I also want to explore different countries of the world on my own. My parents are the most precious beings to me. The ultimate goal is to make them proud while persuing what I love the most, Programming. Also my research interest includes machine learning, deep learning and NLP.
I want to develop my critical thinking, increase my patience and time management skills. Hope one day, my dreams would turn into reality.
Academic Experience
- B.Sc. at Computer Science and Engineering from Military Institute of Science and Technology (2019-2023)
- Higher Secondary Certificate : Holy Cross College (Year of passing , 2018)
- Secondary School Certificate : Holy Cross Girls’ High School (Year of passing, 2016)
Honors and Awards
- 2nd Runners‑up (MIST_Constants), Devmania 2022, BDOSN
- 46th position (MIST_WrongIn_Jibon), National Girls’ Programming Contest 2021 Standing
- top 100/1000 teams, Mujib 100 Idea Contest 2021 Certification
- 34th position (Bitchamps), Inter University Girls’ Programming Contest Season 2, 2019, NSU Standing
- Code Samurai 2022 Placed 15th position in the preliminary contest and participated in the main event. Standing
- RUET CSE Fest 2022 Participated in project showcasing competition
- Participated in ICPC Asia Dhaka Regional Preliminary Contests.
Problem Solving Profile
Projects
2048
Game project and Desktop application
- Java Swing
- Used Java Swing for creating the frontend. The game is played on a 4x4/6x6/8x8 grid using the arrows.
- Tiles with the same value that bump into one-another are merged(numbers on the tiles are summed up). The user who can make one tile's summation result 2048 wins.
Shopner Pathshala
E-Learning Platform for Special Children
- Laravel8
- Oracle
- PHP
- SQL
- Used Laravel8 and Oracle 11g as backend.
- Dynamic graph generation of a student's result data using Chart.js.
- Created ER and Schema Diagram for the database, used PL/SQL (procedure, trigger, sequence, cursor, exception handling) and constraints.
- CRUD operations added for automated appointment system, online forum, new course addition, result displaying options and role based authentication.
StopStalk Clone
A problem-solving profile creator for portfolio building
- Flask
- BS4
- Python
- Used Flask and BeautifulSoup to dynamically scrape the online judges and automatically update the solve counts
Joyita
A ML-Based Android Application for Screening, Facilitating the Cervical Cancer Treatment
- Flutter
- Heroku
- Cloud Firestore
- Created re-usable widgets, maintained a structured codebase while developing the whole project in Flutter.
- Testing of the application was done by almost 50+ users.
- Hosted ML model using Flask and Heroku.
- Used Cloud Firestore in the backend to store doctor appointment details, patients' blogs.
Shohay
A ML-Based Android app for predicting crime types at a specific location and discovering nearby safest places
- Flask
- Heroku
- Machine Learning
- Flutter
- Cloud Firestore
- Displayed nearby safest locations on google maps from current location.
- Setting up emergency contacts and SOS alert generation feature was added.
- realtime tracking of both the victim and ownself was done.
- Predicted crime types and rates at a specific location using KNN algorithm.
- Hosted the ML model in Flask and Heroku.
BSL
Bengali Sign Language Recognition Using Deep Learning
- Deep Learning
- Pytorch
- Used Pytorch documentation to pick pre‑trained models, loss function, optimizer and evaluate the models.
- compared five pre‑trained models for recognizing 38 classes ‑ Densenet121, VGG16, Mobilenet v3 small, Mobilenet v2, and Resnet50
- We achieved an overall test accuracy of 96.57%, 95.13%, 92.82%, 95.52%, 96.31% respectively.
Tech Stack
Languages
Databases
Frameworks
Tools
Operating Systems