Reddit Topic Analysis
Scrapped 1.6M Reddit posts to create a model that classifies sad/angry posts vs suicidal/depressed posts. Used Logistic regression, mixed and ensemble modeling to get a classification accuracy of 82%. This project was made as an approach to reduce suicide rate by identifying depressed users and offering them help.
Predicting House Prices in Ames Iowa
Used a variety of regression models to predict house prices at Ames, Iowa between 2006 and 2010. The process includes intensive hyperparameters-tuning and data visualizations. Placed #1 in the Kaggle competition with the most accurate prediction.
Tools I Love Using
Experience
Data Science Immersive Graduate
General Assembly
Applied Machine learning and data analysis on big data in a 500 hour immersive course
Data Scientist Engineer
The Vanguard Group
Large-scale data collection automation, machine learning and analysis.
Peer Leader
Howard Community College
Led Cisco networking classes, mentored fellow students and held open office hours.
Innovation Internship
Howard Community College
Taught cryptography and stenography to high school students. Designed and built five 3D-printed drones.
Education & Certifications
Aug 2016
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May 2018
A.S. Cyber Security
Howard Community College
Dean’s list 2017 & 2018
B.S Computer Science
Regis University
Dual Degree: M.S. Data Science
Aug 2020
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May 2022
About Me
I left my country in 2012 looking for a safer place to call home. I traveled around Europe, the Middle East, and Asia before settling in the United States.
My curiosity and passion for learning led me to pursue a career in Cyber Security and Data Science, particularly projects related to machine learning and neural networks. When not coding, I enjoy the outdoors by sprinting, hiking, and camping. You can beat me in everything but probably not in sprinting :)
I am eager to expand my knowledge in deep learning and computer vision. If you think we can collaborate, please connect with me!