Habiba Jannat - *

HABIBA JANNAT

Phone: +*** 176*******

E-mail: ad0jvo@r.postjobfree.com

LinkedIn: https://www.linkedin.com/in/habiba-jannat- 88a02512a/

Address: House 1114, Road 10, Avenue 8, Mirpur DOHS To secure a position as a Software Quality Assurance Engineer within an IT company, where I can apply my passion for ensuring software quality and my expertise in testing methodologies. Academic Credentials

1. Bachelor of Science (BSc) 2016- 2020

Department of Computer Science and Engineering (CSE) BRAC University

CGPA: 3.29

2. Higher Secondary School Certificate (HSC) 2015

Shaheed Bir Uttam Lt Anwar Girls’ College

GPA: 5.00

3. Secondary School Certificate (SSC) 2013

Banani Bidyaniketan

GPA: 5.00

Professional Experience

Quality Assurance Executive Jan 2021- May 2022

Contractual Employment in Pro-edge Associates

Job Responsibilities:

● Performing User Acceptance Testing (UAT) of GPAY app, app release build testing on several versions of Android and iOS.

● APP User Interface (UI) design review from customer perspectives, ensure usability and report bugs and crash issues from new UI, study UI usability, creating test case scenarios and documentation of test cases.

● Active participation in GPAY app squad following AGILE Methodology

● Check customer feedback on playstore and social media, regularly track down relevant apps of the industry for the comparison, and product report preparation based on transaction and volume.

Publication

Conference:

S. Talukder, H. Jannat, K. Sengupta, S. Saha and M. I. Hossain, "Enhancing Crops Production Based on Environmental Status Using Machine Learning Techniques," 2020 International Conference on Computer Science and Its Application in Agriculture (ICOSICA), 2020, pp. 1-5, doi: 10.1109/ICOSICA49951.2020.9243251. URL: https://ieeexplore.ieee.org/document/9243251

Habiba Jannat - 2

Thesis and Projects

Undergraduate thesis:

Enhancing Crops Production Based on Environmental Status Using Machine Learning Techniques.

Description: A prediction and recommendation model that determines productivity based on the external parameter- humidity, rainfall, and temperature. K-nearest neighbor (KNN), support vector machines (SVM), random forest, naive Bayes' classifier, logistic regression, collaborative filtering, and Multi-Condition Filtering algorithm have been applied. Academic Projects:

1. Safe elevator: an Arduino-based elevator system with a fire alarm to ensure safety and efficiency.

2. Payroll management system: a robust and user-friendly payroll management system using PHP, MySQL, Bootstrap, HTML, and CSS to efficiently manage employee salaries, attendance, and tax information.

3. Stock Price Prediction: Implemented machine learning algorithms such as linear regression, support vector machines, and random forests to accurately predict stock prices based on historical data, providing valuable insights for informed decision making. 4. Smart cap for visually impaired people: an Arduino-based safety eyewear system for visually impaired individuals that utilizes sensors to detect obstacles and alert a designated contact in case of an accident.

Training and Certifications

1. SQA and Cyber Security May 2023-

by IT Training BD, a United States based training organization. Link: https://www.facebook.com/It-Training-Bd-211************ 2. Penetration Testing, Incident Response and Forensics by Coursera Nov 2022 3. Introduction to Cybersecurity Tools & Cyber Attacks by Coursera Sep 2022 Linguistic Proficiency

English: IELTS Band- 7.0 (Reading- 7.5, Listening- 7.5, Speaking-6.5, Writing-7) Bengali: Native Language

Reference:

Dr. Muhammad Iqbal Hossain

Associate Professor

BRAC University

Email: ad0jvo@r.postjobfree.com

Sabiul Islam Rashed

Graduates Assistance of Cyber Security Department

SUNY Polytechnic Institute

Email: ad0jvo@r.postjobfree.com

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