Abuzar
FAST
· 2023
Email
abuzar.m7266@gmail.com
Phone
+923167815023
GitHub
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Academic
Program
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CGPA
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Year
2023
Education
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Address
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DOB
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ple ors Z, AKO “pm Abuzar +923167815023, abuzar.m7266@gmail.com Eminabad Town, Gujranwala LinkedIn: https://www.linkedin.com/in/abuzar-82b2011b8 ducation achelor of Science (Computer Science) 2023 Major: Data Science, Machine Learning, Deep Learning, Software Engineering, Web Development, Knowledge Graphs, Applied Digital Forensics, Cloud Security and Quantum Computing Punjab College of Science, Gujranwala Punjab 2019 F. Sc (Physics, Computer Science, Mathematics) ovt Islamia Higher Secondary School, Eminabad 2017 eee (Physics, Chemistry, Biology) Projects Final Project: MorphNet — Algebraic Methods in Graph Neural Network Design [PyTorch, Flask, D3, React.js] ‘A novel mechanism for deep learning over non-Euclidean data devised using an algebraic lens with the help of mathematical models from astronomy. A web simulation tool and recommender system for visual demonstration of graph learning with D3, Reacts and Flask using proposed mechanism. Semester Projects: ‘An Online Banking System [MongoDB, React.js, Express.js, Node.js]: Designed and developed an online Banking System using MongoDB, Express.js, React.js and Node.js ‘An Online Product Rental Management System [MongoDB, React.js, Express.js, Node.js]: Designed and Developed an Online Product Rental Management System using MongoDB, Express.js, React.js E-Recruitment System [Flask, React, Java Springboot]: Worked on Parsing and Ranking Algorithms and using them in Design and Development of the E-Recruitment System that automates several hiring processes. Depression Analytics [SPARQL, RDF, OWL, Flask, React]: Developed a web application for data analytics driven by knowledge graphs. Quantum Periodicity Analysis [Python, Qiskit]: Implementation and comparison of Quantum Fourier Transform and Simon’s Algorithm for periodicity analysis of arbitrary black-box functions. Work Experience Working as a Software Developer to work on parsing and recommendation algorithms and design a web application for E-Recruitment System project funded by NCAI. Skills & Tools Professional Skills | Leadership, Interpersonal Skills, Communication. echnical Skills Lua, Python, C, C++, MATLAB, R, Haskell, Java, Bash, PL/SQL, NoSQL, SPARQL, RDF, OWL, Neo4J, ensor Flow, Sci-kit Learn, PyTorch, OpenCV, Qiskit, Socket Programming, OpenMPI, OpenMP, Hadoop, Computer Graphics, Blender, Autopsy, HTML, CSS, UML, Tableau, D3.js, Three.js, Achievements ne Place in Web Development Competition — SOFTEC’22 Trainings / Certification Server-Side Development with NodeJS, Express and MongoDB by University of Hong Kong Front-End Web UI Frameworks and Tools: Bootstrap 4 by University of Hong Kong Neural Networks and Deep Learning by Coursera Certificate of Participation at Hackfest’21 Activities Member of Research Team in IEEE Computing Society Member of R&D Team in Fast Data Science Society Vice Head Web Dev in Society of Advanced Study and Research pene Reading Books, Travelling, Video Games, Watching Movies and TV shows
AI enrichment
Abuzar is a 2023 Computer Science graduate with a focus on Data Science, Machine Learning, and Full Stack Web Development. He has practical experience building web applications and algorithms for projects such as an E-Recruitment System and Graph Neural Network simulations.
Skills (AI)
["Python", "JavaScript", "React.js", "Node.js", "Flask", "MongoDB", "PyTorch", "TensorFlow", "Java", "C++", "Machine Learning", "Deep Learning", "Graph Neural Networks", "Knowledge Graphs", "SQL", "NoSQL", "D3.js", "Qiskit"]
Status: ai_done
Provenance
Source file: —Created: 1777726225