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Data Scientist at Publicis Sapient | Master's Data Science Student at UBB
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Publicis Sapient | Babes-Bolyai University
Data Scientist
June 29, 2026 – Present
Web-Based-Dataset-Manager-with-AI-Integration
June 19, 2025 – June 19, 2025
Web app for uploading, exploring, cleaning, and analyzing datasets with built-in AI model training and prediction. Supports multiple users and real-time interaction.
View ProjectTwitch-Network-Analysis
June 19, 2025 – June 19, 2025
Network analysis of English/British Twitch streamers using real and artificial graphs, with node classification based on explicit language use.
View ProjectYTIC25-Stock-Price-Prediction
June 19, 2025 – June 19, 2025
YTIC25 Stock Price Prediction: Classical vs Modern Approaches
View ProjectData-Analysis
June 19, 2025 – June 19, 2025
Customer Segmentation Using Unsupervised Learning on E-Commerce Data
View ProjectStatistics
June 19, 2025 – June 19, 2025
Statistics analysis project on the real estate market in Romania
View ProjectEchoInterpreter-ERAssistant
July 14, 2024 – July 14, 2024
ERAssistant app to detect lung disease and assist doctors
View ProjectStock-Sentiment-Analysis
April 1, 2024 – June 4, 2024
Stock-Sentiment-Analysis — GitHub repository
View ProjectEchoInterpreter-ERAssistant
October 18, 2023 – January 11, 2024
This a a project for the Designing Innovative Products course. It is an app that uses computer vision to analyze ultrasound images to identify life threatening lung problems.
View ProjectCultural Fit Analysis
The candidate's project portfolio shows a strong inclination towards data science and machine learning, aligning with a Data Scientist role. The diversity of projects, from web applications with AI integration to network analysis and stock prediction, suggests a proactive and curious individual. However, the projects are all personal, and there is only one current professional experience listed, which limits the assessment of collaborative work and professional environment adaptability. The technologies used are primarily Python and Jupyter Notebook, which are standard for data science, but a broader range of tools (e.g., cloud platforms, big data technologies, MLOps tools) would strengthen cultural fit for a senior role.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. No psychometric test results or interview feedback provided.