HAMZA RIZVI

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Aspiration Statement

I am looking to apply an inter-disciplinary approach to solving complex problems, using computer science in conjunction with critical thinking, analysis, problem-solving, and Leadership/Co-curricular to create a meaningful impact within Pakistan. I am inclined towards product management and teamwork.

Core Skills

  • Python, C++
  • SQL, C#, HTML and CSS
  • Object Oriented Programming
  • Illustrator, Photoshop, Adobe XD
  • Excellent Research Skills
  • MS Office
  • Excellent Leadership Qualities, Good Team Management, Event Management
  • WebGl, Latex

Academic Awards / Achievements

  • HU TOPS 100% Scholarship

Experience

Leadership / Meta-curricular

  • Purple Lions Film Festival, November, 2018 - Director, Security and Director, Logistics
  • Omicron II at Habib University, Jan-Feb, 2019 - Director, Liaison
  • TEDx Habib University, Oct 2019 - Director, Security
  • Habib Adventure Society, Jan 2018 – Feb 2019 - President, Communications
  • Habib University Model United Nations II, 2018 - Assistant Director, Marketing

Internship / Volunteer Work

  • Preply - Computer Science Tutor

Publications / Creative Projects

  • Data Analysis Project - College Scorecard Analysis: Performed an in-depth analysis of US-based colleges and the relation between the overall college's standing versus student performance and faculty salary using Jupyter notebook
  • Habib ke Masail : 2D game built from scratch using C++ and OOP design methodologies
  • Adobe XD project on 1) The interface of a mobile application 2) Car selling website

Final Year Project

Project Title

Zafar: Deep Learning-based Automated Topical Urdu Paragraph Generator

Description

Our aim is to automatically generate a paragraph containing more than one sentence with just a few keywords in Urdu. Our work aims to contribute to the NLP for Urdu; thus, it narrows the gap between developments in NLP for languages worldwide. Our work can also be used for further development in NLP for Urdu, such as poetry generation. The dataset we gather will be readily available to others for use in NLP for Urdu. Automated paragraph generation can be used in games to automatically generate stories. These games require automated story-telling (aka Interactive storytelling) as they don’t rely on predefined story lines. Our work will help developers develop such games in Urdu. Our work may also help (or increase the capabilities of) Urdu-based bots to automatically answer a question. Our work will enable bots to generate coherent answers as per the detected keywords in the question. The problem of sentence, paragraph, story, essay generation has been addressed before but never in Urdu.