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PROGRAMMING

Language Proficiency

Java

Python

MySQL


R

 

MongoDB

Spark

 

PHP

95%

90%

80%

70%

70%

70%

70%

Projects

hospital readmission Prediction
machine learning project

Steven Szachara Machine Learning

For this machine learning project, I dove into a massive healthcare dataset from 130 US hospitals, packed with over 50 features and a whopping 100,000+ entries. The goal? Predicting early patient readmissions, a tricky task made even harder by a highly imbalanced dataset. I harnessed the power of Scikit-learn and a suite of models—Logistic Regression, Random Forest, SVM, GridSearchCV, AdaBoost, and XGBoost—to tackle the challenge head-on. The result? An impressive 90% accuracy for predicting patients who wouldn’t be readmitted (Class 0).

machine learning paper on proposed foreign asset detection

This document will focus on a hypothetical machine learning model solution to

identify and classify new foreign assets. Given the limited knowledge known in my current position about the levels of access to data that can be used for the model, I can only theorize, and in many ways, this can be interpreted as “wishful thinking”. Even so,this is how I would approach.

payment file converter for small businesses - quicken

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The Payment File Converter is a lightweight yet powerful tool designed to help small businesses seamlessly convert payment files into a format compatible with Quicken. Many small businesses struggle with managing financial transactions due to varying file formats from banks, payroll services, and vendors. This converter simplifies the process by transforming payment data into QIF (Quicken Interchange Format). This is also free of charge!

stock price scraper and comparison for personal portfolio

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The Stock Price Scraper & Comparison Tool is a Python-based application that helps users track and compare stock prices for their personal investment portfolio. By scraping real-time or historical stock data from Yahoo Finance, this tool provides up-to-date information on stock performance, enabling users to make informed investment decisions. It allows users to monitor multiple stocks, compare trends, and analyze price changes over time.

Simulated java server - twitter api

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The Twitter API Aggregator for Syracuse University Posts is a Java-based server that collects and processes tweets related to Syracuse University using the Twitter API. The system fetches and aggregates tweets containing specific keywords, hashtags, and mentions related to Syracuse University, providing a centralized feed of relevant discussions, events, and news. This tool is designed for students, faculty, and researchers looking to analyze social media trends and engagement around the university.

java text-based rpg

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**This project is an ode to this! Not an actual screenshot!**

The Java Text-Based RPG is a simple, command-line role-playing game where players navigate a world, battle enemies, and collect items through text-based interactions. Designed for simplicity and flexibility, this project serves as a foundation for expanding into more complex RPG mechanics.

github

See my full GITHUB below!

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© 2025 by Steven Szachara

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