Masood Shakir
FAST
· 2020
Email
i160312@nu.edu.pk
Phone
+923425587117
LinkedIn
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GitHub
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Academic
Program
BS Computer Science
CGPA
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Year
2020
Education
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Address
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DOB
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Masood Shakir +923425587117, i160312@nu.edu.pk Sector 3, Airport Society, Islamabad Education Bachelor of Science (Computer Scince) Major: AI, Data Science PAF Public School Sargodha F.Sc (Pre-Engineering) PAF Public School Sargodha Matric (Computer Sciences) Projects Final Project: Lesion Detection and Analysis In CT Scan A desktop Application Based on Deep Learning Model to detect and analyze lesions in CT Scan Images. Semester Projects: Object Recognition in YOLO V3 Image Segmentation Network Emulator Process Scheduler Emulator Hospital Management System Web Service for Attendance Work Experience Advanced Analytics Intern, Ufone Improved Customer Attrition Prediction Module by 5% precision and recall each Jul 2019 - Sep 2019 Deep Learning Intern, Codistan Implemented YOLO V3 for real-time object recognition Jun 2019 - Jul 2019 Backend Development Intern, Galxyz Implemented Models and controller in PHP for four distinct modules Jun 2018 - Aug 2018 Skills & Tools Professional Skills Deep Learning Models, Advanced Analytics, Desktop App development, Data Analytics, Data Engineering, Web Development. Technical Skills Python, C++, C#, PHP, Laravel, Teradata, Informatica, SQL Achievements Got placed in Dean’s List of honour for securing SGPA> 3.5 Trainings / Certification Excel Training Workshop at Ufone CSR Tree Plantation Activities Passed Civil Superior Services Exam 2015 Interests Swimming, Football Reading Philosophy books
AI enrichment
Masood Shakir is a BS Computer Science graduate with a focus on AI and Data Science, possessing internship experience in deep learning, advanced analytics, and backend development. He has demonstrated practical skills in Python, C++, and PHP through projects involving object recognition, lesion detection, and web services.
Skills (AI)
["Python", "C++", "C#", "PHP", "Laravel", "Deep Learning", "Data Analytics", "SQL", "Teradata", "Informatica", "Object Recognition", "Image Segmentation", "Web Development"]
Status: ai_done
Provenance
Source file: page_91.pdfCreated: 1777056958