Ahmed Elghamriny
@ahmedelghamriny
Aspiring software engineer with a focus on machine learning and AI.
What I'm looking for
I am a dedicated computer science student at Dalhousie University, set to graduate in May 2025. My academic journey has equipped me with a solid foundation in various domains, including deep learning, natural language processing, and software engineering. I have a passion for developing innovative solutions that leverage technology to solve real-world problems.
Throughout my studies, I have undertaken several projects that showcase my technical skills and creativity. For instance, I developed a personal portfolio website using React.js and Node.js, which highlights my projects and skills. Additionally, I designed a neural network from scratch and created a Q-learning agent to navigate complex environments. My capstone project involved analyzing property values in New York City, where I utilized Power BI to create an interactive dashboard that provides valuable insights.
Experience
Work history, roles, and key accomplishments
Retail Associate
Zara
May 2024 - Aug 2024 (3 months)
Assisted over 100 customers daily, consistently exceeding sales targets and upselling seasonal units. Delivered high-quality customer service in a dynamic fashion retail environment.
Front Desk Receptionist
Min Beirut
May 2023 - Aug 2023 (3 months)
Greeted clients and checked them in for appointments. Scheduled and confirmed appointments via phone and in-person inquiries.
Sales & Brand Director
Ghamriny Clothing
Mar 2022 - Aug 2022 (5 months)
Launched and managed all aspects of the brand, including design, marketing, sales, and fulfillment. Designed original clothing concepts and curated collections that reflect current fashion trends.
Education
Degrees, certifications, and relevant coursework
Dalhousie University
Bachelor of Computer Science, Computer Science
2020 -
Grade: Dean’s List
Activities and societies: Learning@Dal Mentor, Team Leader – GENAI Hackathon on Wellbeing
Currently pursuing a Bachelor of Computer Science, focusing on advanced topics such as Deep Learning, Natural Language Processing, and Machine Learning. Gained expertise in data warehousing, data mining, algorithms, and software engineering principles.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Website
elghamriny.comPortfolio
elghamriny.comJob categories
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