Md. Naimul Islam    

GitHub           :github.com/RingoKid

LinkedIn       :linkedin.com/in/RingoKid

HackerRank:hackerrank.com/RingoKid

Enthusiastic problem solver, team worker

Linux evangelist, Open Source contributor

Curious about lifehacking through new technology and efficient algorithms.

Avizan # 5/1

SS Academy Road

Auchpara, Tongi

Gazipur - 1711

01686005111

rifat.naimul@gmail.com

EDUCATION

North South University

Computer Science and Engineering

JANUARY 2015 - APRIL 2019

SKILLS

Python, C/C++, HTML/CSS, Java, JavaScript, Pandas, Numpy

Frameworks: Django, Flask, Flutter, Spring Boot, Native Android

Database: PostgreSql, MySql

OS: Linux (Ubuntu, CentOS)

EXPERIENCE

Junior Software Engineer

Inovace Technologies

February 2021 - Present

Android Developer

Spider Digital Commerce

June 2019 - August 2019

Dhaka, Bangladesh.  

PROJECTS

ECHO Django Web Application [Link]

Designed and developed a website for a non-profit organization. The website is being used to collect donations and donors data.  

Technology :  Django Framework, JavaScript, Bootstrap, PostgreSQL, Docker, Gunicorn, Nginx, Digital Ocean

We Top Up Android Application

We Top Up is a mobile recharge platform. A user can recharge any phone number using a credit/debit card. Users can also buy credit. The app has firebase cloud messaging integration. Users can see the offers from the operators before recharging. Quick Recharge feature lets users save a frequently used number to recharge quickly.

Technology : Android (Java), Sqlite(Room API), Firebase, Okhttp3, Facebook Account Kit.

AgriFin Django Web Application [Link]

A platform that connects farmers with potential investors to invest on agricultural lands. Every farmer, investor and land has a profile and rating system. AgriFin, as a company has branches and each land is assigned to the nearest branch with the help of Google Map API.

Technology : Django Framework, HTML, CSS, PostgreSQL, Google Map API.

Predict Future Sale Data Science Competition [Finished 10th]

A Kaggle competition to predict future sale of 20k+ items in 60 shops from different cities of Russia. The main task of this competition was to do data analysis and find the best features from the given data. My team became 10th in the competition among 2000 competitors.

Technology :  Pandas, Numpy, Matplotlib, Scikit-learn, XGBoost, LightGBM, Jupyter Notebook, Google Colab.

Book Portal — Flask Web Application

A book portal of five thousand books stored in Heroku.  Multiple APIs were used for different purposes such as book rating, cover image and details information. Users are able to signup and login to the website to rate books and leave their comments.

Technology : Flask Framework, HTML, CSS, Goodreads API. 

PUBLICATIONS

Nahian Ahmed, M. Naimul Islam, M. Ferdous Hasan, Tamanna Motahar, Mohammad Sujauddin, “Understanding the political ecology of forced migration and deforestation through a multi-algorithm classification approach: the case of Rohingya displacement in the southeastern border region of Bangladesh”, Geology, Ecology, and Landscapes, Taylor and Francis, 2018.

Nahian Ahmed, Nazmul Alam Diptu, M. Sakil Khan Shadhin, M. Abrar Fahim Jaki, M. Ferdous Hasan, M. Naimul Islam and Rashedur M. Rahman, “Artificial Neural Network and Machine Learning Based Methods for Population Estimation of Rohingya Refugees: Comparing Data-Driven and Satellite Image-Driven Approaches”, World Scientific, 2019.