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Vera Yepiskoposyan

@verayepiskoposyan

Computer Science student at UFAR who built an automated pipeline to analyze and predict GPU benchmark performance across 2,300+ hardware models.

Armenia

Message

At UFAR, I’m studying Computer Science and exploring data analysis, automation, and machine learning. I built an automated regression pipeline to analyze and predict GPU benchmark performance across 2,300+ hardware models using Scikit-Learn and Pandas.

I also worked on classification and prediction projects involving Titanic survival and student performance. My work included data cleaning, preprocessing, model evaluation, and feature analysis.

Experience

Work history, roles, and key accomplishments

Titanic Survival Classification & EDA

Personal Project

Implemented an end-to-end binary classification model using Logistic Regression to analyze passenger demographic and class features for survival propensity. Executed multi-stage preprocessing and feature correlation diagnostics.

Python Pandas scikit learn SeaBorn Matplotlib data preprocessing Feature Engineering

Automated Data Pipelines & GPU Performance Modeling

Personal Project

Built an automated, end-to-end regression pipeline to analyze and predict GPU benchmark performance across 2,300+ hardware models using Scikit-Learn and Pandas. Evaluated and tuned multiple regression models via GridSearchCV cross-validation.

Python Pandas scikit learn Joblib data preprocessing Feature Engineering Model Evaluation

Student Performance Analysis & Score Prediction

Personal Project

Preprocessed academic dataset and applied regression algorithms to model student exam performance. Evaluated model accuracy and feature influence using standard metrics.

Python Pandas scikit learn data preprocessing regression Model Evaluation