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L@ya
Hello, I'M Laya
Data Scienc
Hello and Welcome to my webpage. Here you can find information about me.
AboutMe
Why Choose Me?
I'm Laya, really curious about computer science and always excited to learn. I'm super interested in data science, natural language processing and software engineering. Teaching is my thing too – I love sharing what I know to help others. This mix of techie curiosity and a passion for teaching drives me toward a future full of new ideas.
Here are a Few Highlights:
Social Computing Science
Natural Language Processing
Large Language Models
Data Mining
Software Engineering
Resume
My Formal Bio Details
Education
Academic & Working History
Programming Skills
Projects
InterestsPhD in Computer Science
2024_Present
Illinois Institute of Technology
Graduate Teaching Assistant
K. N. Toosi University Of Technology, Iran
2019_2023
BACHELOR OF Computer Engineering
Cumulative GPA : 17.68/20.0 - Last 60 Credits GPA : 18.8/20.0
Graduate Teaching Assistant
2024_Present
Full Time, Illinois Institute of Technology
- Meeting with students during office hours, grading assignments/exams, proctoring examinations.
Natural Language processing Engineer, Data Scientist
2023_2024
Full Time, Smartory Labs
- Working on the resume-parsing project using LLMs.
Teaching and Research Assistant
2020_2024
Part Time, K. N. Toosi University of Technology
- Grading assignments and projects, holding classes and mentoring students.Also working on the depression detection research project.
Python
Java
C/C++
C#
JavaScript
React JS
React Native
Express JS
SQL Server
HTML/CSS
Bitcoin Price Prediction
June 2023_September 2023
Technologies Used: LSTM, Textblob,VADER , Deep Learning, Python
Bitcoin Price Prediction using News Sentiment Analysis.
Pitch Detection
February 2023_March 2023
Technologies Used: AMDF, CEPSTRUM, AUTOCORRELATION
Detecting and plotting pitch contour of a given audio file using AMDF, Autocorrelation and Cepstrum methods
Depression Detection
September 2023_February 2024
Technologies Used: Python, LSTM, GRU, Bi-LSTM, Bi-GRU
Depression Detection on e-Risk 2017 using Long Short-term Memory Models (Published Paper).
Large Language Models
Natural Language Processing
Text Sentiment Analysis
Public Health
Social Computing Science
Community Detection, Social Graphs, most influential nodes in social networks
Software Engineering
Programming Languages