Zunera zahid
NUST
· 2024
Email
zunera.zahid@seecs.edu.pk
Phone
+92 333 5482787
LinkedIn
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GitHub
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Academic
Program
BS in Computer Science
CGPA
2.94
Year
2024
Education
School of Electrical Engineering and Computer Science
Address
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DOB
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Career
Current role
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Target role
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Skills
programming concepts, Machine Learning, recommendation system, E-Commerce App, AI-powered shopping app, image recognition technologies, Cosine similarity, SVD, Kaggle Dataset, customer data analysis, Linux file system, Tree structure
Interests / quote
Computer science expert with a strong foundation in programming concepts. I am eager to expand my skills in programming languages. My ability to think critically and solve complex problems allows me to excel in developing efficient and robust software solutions. I am ready to contribute my enthusiasm and technical expertise to make a meaningful impact in the field of computer science.
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Name: Zunera zahid Company: Nust(seecs) Phone: +92 333 5482787 Email: zunera.zahid@seecs.edu.pk Professional Profile Computer science expert with a strong foundation in programming concepts. I am eager to expand my skills in programming languages. My ability to think critically and solve complex problems allows me to excel in developing efficient and robust software solutions. I am ready to contribute my enthusiasm and technical expertise to make a meaningful impact in the field of computer science. Education BS in Computer Science School of Electrical Engineering and Computer Science , 2.94 FSC(Pre-engineering) Kinnaid college , 1006/1100 (2020) Matric LDA Model Girls HIgh School, Johar Town , 1065/1100 (2018) Internship Experience Agri-tech Lab SINES ( 15-Jun-2023 - 17-Aug-2023 ) Worked as an Machine Learning intern. Develop a recommendation system of E- Commerce App. Projects Intelli Shop: An AI powered shopping app (FYP) The proposed project is an AI-powered shopping app that will use machine learning and image recognition technologies to offer personalized recommendations and an enhanced shopping experience for users. The app will include an admin dashboard that will allow the admin to analyze sales data, providing insigh Recommendation system (Shopping app) A recommendation system guiding users towards tailored content and products. One of the primary paradigms within recommendation systems is the item-based similarity and user-based similarity approaches. Implement Cosine similarity and SVD. Marketing Strategy Project Campaign design for a retail client using Kaggle Dataset. To analyse customer data and predict their behaviour, enabling businesses to deliver more targeted and personalized marketing campaigns. Filesystem A Linux file system's implementation. The commands are similar to the Linux. Tree structure is used to implement this system.
AI enrichment
Zunera Zahid is a recent Computer Science graduate with an internship in machine learning and experience developing recommendation systems. Her academic projects include an AI-powered shopping app and a Linux filesystem implementation, demonstrating foundational skills in software development and data analysis.
Skills (AI)
["Machine Learning", "Python", "Recommendation Systems", "Image Recognition", "SVD", "Cosine Similarity", "Linux Filesystem", "Data Analysis", "Kaggle"]
Status: ai_done