To obtain a copy of my resume, kindly reach out to me via email at [email protected]. I would be delighted to provide it to you. Thank you for your interest.

Hi, I'm Ammar! Resume

I am a fourth-year student at Canisius University, passionate about Computer Science and Data Science. I thrive at the intersection of code and creativity, designing security-focused databases, crafting predictive machine learning models, and creating web apps. When I'm not coding, I'm capturing nature's beauty through my lens. Excited to bring my diverse skill set and enthusiasm for tech to any team, let's connect and explore endless possibilities together!

Skills

HTML
JavaScript
Python
Python
R
R
Java
Java
MySQL
MySQL
Git
Git
Tableau
Tableau
Basic in PHP
Basics in PHP
Docker
Docker
Excel
Excel
CSS
CSS
C++
C++

Certificates

Python Certificate
Programming in Python
Cloud Computing
Intro to Cloud Computing
Intro to Web Development
Intro to Web Development
Intro to Cybersecurity
Intro to Cybersecurity
Git and GitHub
Git and GitHub

Projects

ANTI-DYSPRAXIA GLOVE

  • Created the Anti-Dyspraxia Glove as part of a four-person team, aiming to assist children with hand movement control difficulties.
  • Implemented the code that utilized the incoming data from the sensors and drew conclusions.

ENCRYPTION WEB SITE

  • Programmed a text encryption web application as part of a class project in Web Development, utilizing HTML, CSS, JavaScript, and PHP.
  • Designed encryption and decryption algorithms using the technologies to secure and protect text-based data.

Flask-Backed Scripting and Book/Article Review System

  • Created LibroTech, an integrated library system, from the ground up, encompassing database design, user interface development, and interactive features using Python, Flask, SQLite, HTML, CSS, and JS.
  • Developed user accounts, book browsing functionality, ratings, reviews, and virtual reading rooms to facilitate collaboration within the system, and web scripting from online news articles.

Interactive and More Complex Website

  • An interactive and more complex website involves incorporating various elements such as dynamic content, user interactivity, database integration, and more advanced functionalities.

MACHINE LEARNING MODEL: SEPSIS SURVIVAL PREDICTOR

  • Implemented a predictive machine learning model using Python, TensorFlow, and scikit-learn to forecast sepsis survival rates, focusing on high-risk patient groups.
  • Conducted comprehensive data preprocessing and feature extraction from diverse medical datasets, resulting in a robust model training process.
  • Accomplished model validation with a PR AUC of 97% and ROC AUC of 70%, validating the predictive accuracy and clinical applicability of the model.

FraudGuard ML

  • Developed an ML model, named FraudGuard ML, utilizing logistic regression, to construct a fraud detection system for a bank web application.
  • Achieved a high accuracy of approximately 95.87% in classifying transactions as fraudulent or legitimate, with particular emphasis on precision (0.96) and recall (0.99) for legitimate transactions.
  • Identified key features such as "Online Order," "Ratio to Median Purchase Price," and "Distance from Last Transaction" as significant contributors to fraud prediction, leading to actionable insights for enhancing fraud detection systems and risk mitigation strategies.