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SHIZA KHALIDI
Class of 2021
BS Computer Science
Minor: Religious Studies
Aspiration Statement
I want to get a job in the fields of data science or software development combined with machine learning. I would ideally like to work for a software house.
Core Skills
- Python
- C++
- C#
- SQL
- MEAN Stack
- WebGI, Latex
Academic Awards / Achievements
- Habib Excellence Scholarship
- Dean's List Spring 2019
- Dean's List Fall 2019, 2020
- High academic achievement scholarship Fall 2019
Experience
Internship / Volunteer Work
- MarketLytics - Senior Data Specialist | Analytics
- UBL - Software Developer
- Jogo.ai - Data Science Intern
- UBL - Intern
- Indus Hospital - Intern
- Habib University - Teaching Assistant | Data Structures
Final Year Project
Project Title
Hamdard- Maternity Companion
Description
Hamdard is a contextual AI assistant built on the RASA framework and deployed on the MEAN stack web application. Hamdard acts as a personal companion, answering maternity-related questions in Urdu using Natural Language Processing (NLP), predicting complications in pregnancy through Bayesian predictive modeling, finding nearest maternity clinics and providing emotional support through weekly messages. Hence, Hamdard aims at providing women support at multiple levels throughout their nine months of pregnancy.