FATEMEH BAHMANPOUR

Passionate M.Sc. student in Computer Science specializing in data science, with a proven ability to transform complex datasets into actionable insights. Skilled in Python with experience developing predictive models and analytical projects. Recognized for academic excellence and strong communication skills through teaching assistant roles.

Master's Thesis: Fire and Smoke Detection based on Visual Imaging Data (In progress)

• Developed a real-time fire detection system using YOLOv11 and the D-Fire dataset. Focused on achieving high accuracy and low latency performance in the project.

Car Insurance Claim Prediction

• Applied various machine learning models and feature selection techniques to predict car insurance claims, with XGBoost yielding the best performance and achieving a ROC Score of 88%.

Traffic Signs and Lights Detection and Recognition

• Engineered a YOLOv5-based computer vision model for traffic sign and light detection, achieving 93% accuracy for autonomous driving applications.

Electronic Health Records (EHR) of Patients

• Developed a Bayesian optimizer to fine-tune LSTM model hyperparameters for predicting cardiovascular disease within six months, achieving superior performance compared to vanilla-LSTM and T-LSTM models.

Movie Recommendation System

• Implemented a collaborative filtering-based movie recommendation system using XGBoost, achieving a 98% Normalized Discounted Cumulative Gain (NDCG) score on the MovieLens dataset.

Text Classification Model (Group Project)

• Collaborated on a text classification model for English and Italian languages. My contribution involved using Ollama and GPT to translate Italian text and generate a custom Italian language dataset.

Python Bootcamp | Udemy

Data Science | Filoger
Machine learning with Python implementation | Faradars

Deep learning | Faradars

Algorithm Design |  Azad University 

Computer Architecture |  Azad University 

High School Mathematics | Private Tutor