Hi, my name is Arshiya.

About Me

I am a current student at New York University Abu Dhabi, majoring in Computer Science with a minor in Applied Mathematics.

As someone who is deeply passionate about accessibility, sustainability, and inclusion in technology, I believe that there are multiple avenues within the field of Computer Science where these values can be integrated and leveraged to create positive change. I have extensive experience in both research and industry.

I love learning new ways to channel my imagination - outside of my projects, I enjoy other forms of art, such as embroidery. I'm always open to new experiences, whether it be a new algorithmic challenge or travelling to a completely new place.

I'm based across multiple cities - I always find myself somewhere in between Karachi, Islamabad and Abu Dhabi.

Featured Projects

PosiTech

In the project, sentiment analysis was conducted to gather insights about the stock market. Data was collected from multiple APIs such as the News API, Twitter API, and Reddit APIs. The end product of this is a Flask application that utilized a Long Short-Term Memory Network model created with TensorFlow/Keras libraries and the Yahoo! Finance API to optimize stock investments through portfolio management.

PosiTech

Real Estate Price Predictor

The project involved developing a Flask web application to predict real estate prices in Islamabad, Pakistan using a real-estate dataset. The data was cleaned, manipulated and visualized using Numpy, Pandas and Matplotlib. Various machine learning models, including linear regression, lasso, and decision tree models, were implemented using Scikit-Learn library. GridSearchCV was utilized for hyperparameter tuning to optimize the models performance. The project combined data cleaning, visualization, and machine learning techniques to create an easy-to-use interface for predicting real estate prices in Islamabad.

Real Estate Price Predictor

The Long Night

A 2D shooter game for desktop computers that was based on the popular HBO series Game of Thrones. The game was created using Python and the Processing library. Specialized projectile motion was implemented for both the player character and the randomly generated enemies. To increase the difficulty of gameplay, the game uses mathematical algorithms that progressively increased the number and speed of the randomly generated enemies.

The Long Night

TraViz

A web application meant to serve as a both a trip-planner and diary. Developed the front-end and back end of the web-application, implementing interactive map of users' travel history in Javascript, with visualizations of user locations being produced through p5.js, MapBox and LocationIQ APIs.

TraViz

FriendQuest

A social web application created using Next.js for the front-end, with a custom back-end API and MongoDB for data storage. One of the key features of the application was the integration of the Google Places API, which allowed users to receive real-time location suggestions based on their input. To ensure secure user access, it also uses NextAuth to utilize Google authentication.

FriendQuest