Afaq Alam

Academic

Verbatim text

Afaq Alam
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+923495417969, afaqalam2003@gmail.com
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Golden Jubilee Housing Society, Islamabad
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Linkedln: www.linkedin.com/in/afaq-alam-a2a56622b
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Education
Bachelor of Science {Data Science)
Major:
atural language Processing, Generative Al, Data Analytics and Visualization, Data Mining, Data
arehousing, Big Data.
Roots Ivy International School, Islamabad
A Levels (Computer Science, Physics, Mathematics)
Roots Ivy International School, Islamabad
0 Levels (Computer Science, Physics, Mathematics, Chemistry)
Projects
Final Proiect: Scholarwatch [Pvthon, Javascript, React, PHP, Git]
Developed an advanced Moodie plugin leveraging Al to provide smart engagement tools, personalized learning
insights, and performance tracking. It enhances user interaction, delivers tailored learning recommendations, and
enables data-driven performance analysis to improve educational outcomes.
Semester Projects:
Real-Time Billing System (Roboflow, YOLOv8, Flask, HTML, CSS]:
Web application that utilizes YOLOv8 and a custom augmented dataset to automate the generation of bills, providing a
user-friendly interface for seamless data input and output. The application detects objects, streamlining the billing
process, focusing on efficiency and accuracy.
Amazon Product Recommendation System[Python, Kafka, Spark, Flask, HTML, CSS, MongoDB] :
Processed Amazon reviews with Apache Spark and MongoDB, performed EDA, and prepped data for an ALS model.
Built a Flask app with Kafka for real-time recommendations.
Work Experience
Junior Backend Developer, Uurnik Systems.
Oct 2024 - Present
Developing scalable RESTful APls with Django, managing Word Press pages, and
collaborating in Agile teams while ensuring alignment with business needs and using Git
for version control.
Lab Demonstrator, NUCES-FAST, Islamabad.
Feb 2024 - May 2024
Assisted students with error resolution and concept clarification. Served as a lab
demonstrator for Database and COAL courses.
Data Science Intern, Graana.com.
Jun 2023 - Aug 2023
Extracted information using Tesseract OCR, performed data preprocessing, and integrated
via Python. Skilled in web scraping for data acquisition.
Skills & Tools
Professional Skills
Problem Solving, Critical Thinking, Communication.
Technical Skills
Python, C++, Javascript, Django Rest Framework, SQL, No SQL, Sci-kit Learn, D3, Tableau, Spark,
Hadoop, Javascript Kafka Flask Web scraping Git HTML CSS Docker VS Code
Achievements
Dean's list of honours
Traininqs I Certification
Ask Questions to Make Data-Driven Decisions (Coursera)
Foundations: Data, Data, Everywhere (Coursera)
Activities
FAST Men's Volleyball Team
Interests
Playing Competitive First Person Shooter Games, Listening to music, Playing football
FAST NUCES ISLAMABAD CAMPUS

AI enrichment