Aniqa Ahsan

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Aspiration Statement

“I plan on pursuing my Masters in Data Science so I can pursue a career in Data Analysis in the near future and eventually become part of a managing team of a reputable organization. Apart from that, I enjoy painting, photography, video editing and travelling.”

Core Skills

  • Python, C++, R, MySQL
  • HTML/CSS
  • Adobe Illustrator
  • Qualitative Research
  • Wordpress
  • Public Speaking
  • Social Media Management
  • Analytical Skills

Academic Awards / Achievements

  • Best Delegate WALEMUN (Model United Nations) 2016
  • 80% Merit Scholarship – Habib University
  • Certified Data Scientist - DataCamp

Experience

Leadership / Meta-curricular

  • AIESEC in University of Nottingham Malaysia - Volunteer
  • Aurat Raaj - Intern
  • Siemens Pakistan - Intern
  • STEMMERS - Micro-controllers and Interfacing Teaching Assistant
  • Food Fusion - Intern
  • National Institute of Child Health - Student Volunteer
  • Google Analytics for Beginners - Google

Internship / Volunteer Work

  • Data Engineer - Afiniti (Sept 2020 - Present)

Publications / Creative Projects

  • 2.5D Game Development : C++ and SDL 2.0
  • Tour Company Website - HTML, CSS, ASP.NET MVC and SQL.:
  • 2D Game Development - Unity and C#:
  • Relinking of Social Ties in a Quarantined Network: A Network Analyses of Friendship Networks in a Virtual Space

Final Year Project

Project Title

Anghoota Chaap

Description

This is an industrial project led by NextLinks that is working closely with the Government of Pakistan to protect Quetta from security threats. It is part of the Quetta Safe City Project. Our project is unique because it focuses on patrolling the city borders and keeping track of incoming and outgoing people. This Safe City Project would undoubtedly be dealing with a lot of sensitive data and it’s only fitting for it to be developed by locals instead of an offshore software house or using a pre-developed system. We are developing this system from scratch to make this safe, efficient and robust enough to be deployed at such a large scale. We will be looking into modern machine learning and deep learning algorithms which may be a potential replacement for the traditional fingerprint identification method and can possibly stand out from the already available open source software’s. (Group Project)

Project Pictures