Hello, I'm Daler Rahimov

Data Analyst & AI Specialist

Building intelligent solutions that bridge data and human needs through analytics and artificial intelligence.

Daler Rahimov

About Me

I'm a data analyst and AI enthusiast originally from Tajikistan — a small, mountainous country in Central Asia. Growing up in a place where access to advanced technology was limited only fueled my curiosity.

I've always been fascinated by how things work — from the cosmos to computers — and that early passion led me to pursue a future in data, artificial intelligence, and systems design.

Achieving my dream of studying in the United States, I earned my degree from the University of Nebraska at Kearney. During that time, I built real-world tools — including a predictive model for healthcare billing and an AI-powered chatbot that integrates document ingestion, OpenAI GPT, and vector search.

I currently serve as a Graduate Assistant for the Office of Graduate Studies and Academic Innovation at UNK. In this role, I support academic program development, analyze student success data, assist in marketing efforts, and help enhance institutional effectiveness through data-driven reporting.

My Skills & Expertise

Python

Used extensively for data cleaning, automation, and developing AI-based tools like my chatbot and healthcare billing error predictor.

Machine Learning

Applied supervised learning and NLP models using libraries like scikit-learn and OpenAI APIs to solve real-world problems.

Data Visualization

Built interactive dashboards and clear visuals using Python (matplotlib/seaborn), Tableau, and Excel to aid decision-making.

AI Integration

Developed full-stack AI applications combining GPT, vector databases (like Pinecone), and real-time user interfaces.

Databases

Worked with MongoDB and PostgreSQL to design efficient, secure, and scalable data storage systems for both structured and unstructured data.

My Projects

UNK AI Chatbot

Featured

Intelligent Campus Assistant for Students & Staff

Python Flask WebSockets React.js Tailwind CSS MongoDB Pinecone OpenAI GPT-3.5

This full-stack AI-powered chatbot was built as a capstone project to modernize student support at the University of Nebraska at Kearney. Designed for both students and staff, the chatbot can answer academic, administrative, and campus-related queries in real time using an intelligent backend pipeline that mimics how a real university help desk operates — but faster, smarter, and 24/7.

Features:

  • GPT integration with OpenAI API
  • Document ingestion from UNK website and vector indexing using Pinecone
  • WebSocket-based real-time multi-user chat
  • Role-based access control for students vs. staff
  • Modern React frontend with markdown rendering

Impact:

Reduced support load, improved student access to resources, and can be deployed as a campus-wide plug-in.

View on GitHub

Medical Billing Error Predictor for Breast Cancer Patients

Predictive analytics tool for healthcare billing accuracy

Python Excel Data Visualization Probability Modeling IRT

This predictive analytics tool was developed to estimate the likelihood of medical billing errors in breast cancer treatment workflows. The hypothesis: The more procedures a patient undergoes, the higher the chance of billing errors. Our model analyzes procedure counts by stage and predicts error probabilities using custom-constructed datasets and statistical methods.

Features:

  • Simulated stage-based data due to HIPAA restrictions
  • Binomial models and Cronbach's Alpha for statistical validation
  • Data visualization and decision-making thresholds

Result:

Found a significant increase in billing error probability when procedure count surpassed critical levels.

Note: Due to the inclusion of sensitive medical data and group collaboration, full project files are not publicly available. A sanitized version or demo can be provided upon request.

Get In Touch

Have a project in mind or want to discuss potential opportunities? Feel free to reach out!

Send Me a Message