Zainab Anwaar
NUST
· 2024
Email
zanwaar.bese20seecs@seecs.edu.pk
Phone
03344708062
LinkedIn
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Academic
Program
BE Software Engineering
CGPA
3.5
Year
2024
Education
School of Electrical Engineering and Computer Science
Address
Rawalpindi, Pakistan
DOB
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Career
Current role
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Target role
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Skills
Web development frameworks, Android, Software quality assurance, Web scraping, Javascript (es6), Flask, React, Graphql, Analytical thinking, Communication skills, Software debugging, Organization, Teamwork, flexibility, Team management, Conflict management, Laravel, Bootstrap, MySQL, MERN, MongoDB, Node, Express, Random Forest Model
Interests / quote
As a motivated undergraduate student, I am seeking a collaborative learning opportunity to gain valuable experience and make a positive impact on your organization. I am eager to work with the team and contribute my skills to achieve shared goals.
Verbatim text
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Zainab Anwaar Details Technical Skills Soft Skills Reference Cell: 03344708062 Email: zanwaar.bese20seecs@seecs.edu.pk Address: House # 12 Street 18c, sector b orchard, dha phase 1 Rawalpindi , Pakistan Web development frameworks Android Software quality assurance Web scraping Javascript (es6) Flask React Graphql Analytical thinking Communication skills Software debugging Organization Teamwork, flexibility Team management Conflict management To be furnished upon request. Professional Profile As a motivated undergraduate student, I am seeking a collaborative learning opportunity to gain valuable experience and make a positive impact on your organization. I am eager to work with the team and contribute my skills to achieve shared goals. Education BE Software Engineering School of Electrical Engineering and Computer Science , 3.5 HSSC Federal Board (ICS) APS&C, Fort Road, Rawalpindi , 1028/1100 (2020) SSC Federal Board APS&C, Jarrar Camp, Rawalpindi , 1062/1100 (2018) Internship Experience Shadiyana ( 18-Jun-2023 - 31-Aug-2023 ) Implemented a key feature “Calendar and Events” in the React Native Vendor App of the startup. Routine addition of new features to the company’s PERN-based web application. Debugging and fixing of bugs in various features. Optical Networks and Technologies Lab, NUST Islamabad ( 13-Jun-2022 - 16-Sep- 2022 ) Contributed to the research of incorporating 5G nodes in Mininet. CodSoft ( 05-Sep-2023 - 05-Oct-2023 ) Worked on various tasks presented during the Internship. Projects ZASH An online makeup store built with Laravel and Bootstrap at the front end and MySQL as the Database. CineSpace A MERN application that allows users to search through movies based on genre, title and description and gives recommendations based on their watchlist. Technologies Used: React, MongoDB, Node, Express, Bootstrap. Loan Default Predictor The Loan Default Predictor uses a Random Forest Model to accurately predict whether a loan default has occurred or not. Flask was used for deployment. GitHub Link: https://github.com/Pisceszaiby/Loan-Default-Predictor
AI enrichment
Zainab Anwaar is a BE Software Engineering undergraduate with a 3.5 CGPA and internship experience in web development and research. She has practical skills in React, Flask, and Python, demonstrated through projects like a MERN stack movie app and a loan default predictor.
Skills (AI)
["React", "Flask", "JavaScript (ES6)", "Node.js", "Express", "MongoDB", "React Native", "Python", "GraphQL", "Web Scraping", "Software Debugging", "Team Management"]
Status: ai_done