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Iqra Siddiqui
Aspiration Statement
I am passionate about data science and looking forward to pursuing a career in this domain, either as an analyst or researcher.
Core Skills
- AI Frameworks
- C++/C/C#
- HTML5
- Java
- JavaScript
- Leadership
- Python
- Problem Solving
Academic Awards / Achievements
- HU TOPS 100% Scholarship
- Edhi CA Talent Scholarship
Experience
Leadership / Meta-curricular
- Attended Grace Hopper Celebration, GHC 2022
- First Runner Up at TPL InsurTech Challenge
- Among Top 15 Builders, BuiltByHer Hackathon
- President, Habib University Chapter of ACM
- Vice President, Chapter of Pakistan Artificial Intelligence Center
Internship / Volunteer Work
- Research Intern, University of Auckland - Empathic Computing Laboratory (December 2022 – Present)
- Scholar, Grace Hopper Celebration - GHC’22 (July 2022 – October 2022)
- Product and Data Analyst Trainee, Performance and Data Department – DaewooAdda (July 2022 – September 2022)
- Data Analyst – Student Employee, Associate Dean for Undergraduate Education Department – Habib University (January 2022 – December 2022)
- Remote Research Intern, International Summer Program 2021 – Osaka University (July 2021 – July 2021)
Publications / Creative Projects
- Research Project Poet Attribution using Deep Learning (Deep Learning, Machine Learning, Transformers)
- Algorithmic Analysis of Graph Isomorphism (Algorithm Analysis, Run-time Optimization)
- Implementation and Analysis of IWD Algorithm (Swarm-based algorithm analysis, Run-time Optimization)
Final Year Project
Project Title
DySign; AI Screener to Predict Risk of Dyslexia
Description
The project involves research to predict the risk of Dyslexia in Pakistani children using their Urdu and English handwriting with artificial intelligence. The model will be integrated into an easily accessible website to facilitate the screening of dyslexia in Pakistan. The website will also serve as a resource hub for dyslexia and learning difficulties to create awareness and normalize it. The project is being carried out by a team of three individuals, including myself, Hana Ali Rashid, and Tasmiya Malik, under the supervision of Dr. Abdul Samad.