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illinois state university
Data Scientist
June 22, 2026 – Present
Huffman-Coding
January 25, 2025 – January 25, 2025
Java implementation of Huffman coding algorithm for text compression and decompression.
View Projectnp-complete-reductions
January 25, 2025 – January 25, 2025
Implementation of polynomial-time reductions between NP-complete problems (3SAT, Vertex Cover, Clique). Features optimized vertex cover solver using recursive approach, Cook reductions, and efficient graph data structures. Demonstrates practical applications of theoretical CS concepts.
View ProjectAI-Web-Scraper-with-LLM-Parsing
December 30, 2024 – December 30, 2024
AI Web Scraper with LLM Parsing - A Streamlit-based tool for scraping website content and extracting insights using Large Language Models (LLMs).
View ProjectInteractive-COVID-19-Data-Analytics-Dashboard-with-D3.js
December 30, 2024 – December 30, 2024
Dynamically processes and visualizes COVID-19 data to present meaningful insights through real-time data updates, dropdown selectors, and time sliders.
View ProjectCrime_Rate_Prediction_using_Facebook_Prophet
October 28, 2024 – October 28, 2024
This GitHub repository hosts a data science project that focuses on analyzing and forecasting crime trends in Chicago from 2005 to 2017. The project utilizes the Prophet forecasting library, addressing compatibility issues with dependencies, and leverages Python's pandas for data manipulation, along with matplotlib and seaborn for visualization.
View ProjectCar-Price-Prediction-Using-Machine-Learning
October 27, 2024 – October 27, 2024
This project involves analyzing a dataset of car sales to predict selling prices based on various attributes using machine learning models.
View ProjectLinear-Regression
October 27, 2024 – October 27, 2024
Regression analysis and predictive modeling on real-world datasets using Python and scikit-learn
View ProjectEmployee-Churn-Prediction-Using-Machine-Learning-main
October 27, 2024 – October 27, 2024
End-to-end ML pipeline predicting employee attrition using classification models with feature engineering and model evaluation
View ProjectCultural Fit Analysis
The candidate's projects show a strong inclination towards personal learning and exploration across various domains (AI, data science, algorithms, web development). This suggests a self-starter mentality. However, the lack of team-based projects or explicit collaboration details makes it difficult to fully assess cultural fit for a collaborative team environment. The target role is Data Scientist, and the projects align well with the technical aspects of this role.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. The candidate's project descriptions indicate an ability to work on diverse technical challenges.