Farhan Rahman Eram
[email protected]+8801521-537893
683\10\B,North Kafrul, Ibrahimpur, Mirpur, Dhaka
19/07/2001
https://www.linkedin.com/in/farhan-rahman-eram-b4b649271/
https://github.com/Nocturnal204
https://twitter.com/farhan_eram
https://www.hackerrank.com/farhan15_13739
Profile
A computer science enthusiast and detail-oriented and analytical computer science student with a passion for learning and a strong work ethic. Skilled in programming languages such as C++, Python, Java, HTML, CSS etc. with experience building small projects and completing online courses. Seeking an opportunity to gain practical experience and continue developing my skills in a professional setting with a focus on problem-solving and critical thinking. Completed coursework in software engineering, computer networks, and database systems. Seeking an internship to gain real-world experience and contribute to a dynamic team.
Career Objectives
Education
B.S.C in Computer Science and Engineering, Daffodil International University
2020 – present
H.S.C, Chittagong Cantonment Public College
2019
G.P.A- 5.00
S.S.C, Bangladesh Navy School and College
2017
G.P.A- 5.00
Technical Skills
Machine Learning — Proficient
Python — Proficient
C++ — Proficient
Java — Proficient
HTML — Proficient
CSS — Competent
Networking — Proficient
UI/UX Design — Proficient
MS Word, Powerpoint, Excel — Expert
mySQL — Proficient
Professional Skills
Leadership — Proficient
Teamwork — Expert
Communication — Expert
Time Management — Expert
Adaptability — Expert
Project Planning — Proficient
Positive Attitude — Expert
Creativity — Proficient
Presentation — Expert
Languages
Bengali — Native LanguageEnglish — Fluent in Speaking and WritingGerman — Beginner Level- A1 completed
Projects
Traffic Sign Recognition using Deep Learning, By this system vehicles can automatically detect traffic signs and show the output to the driver with an alert in an acceptable time and from an acceptable distance. Methods used are Keras, Python, OpenCV, Tensorflow, Pandas, NumPy, Tkinter
2022
PDF Reader Mobile Application, Using the app user can generate and store PDF files on Android Phones. Technologies used are Android SDK, Java, Firebase
2022
Nocturnal Medicine Store, A bash script-based project using Shell Scripting in Terminal
2022
Pedaling, Bicycle Rental System prototype app designed using Figma
2021
Hospital Management System, Database management system for a hospital using Java
2021
Digital Waiter, Food ordering mobile application prototype using Adobe XD
2020
References
Ms. Nushrat Jahan Ria, Lecturer, Daffodil International University
[email protected], +8801521-201557
Ms. Aditi Dhali, Lecturer, Daffodil International University
[email protected], +8801876-044079