Personal details

Teodor T. - Remote data scientist

Teodor T.

Based in: 🇷🇴 Romania
Timezone: Bucharest (UTC+3)

Summary

I am a passionate data scientist with several years of experience in the industry, having previously graduated from Queen Mary University of London with a MSc. in Big Data Science. My specialty is deep learning, with a focus on natural language processing (NLP). I am a Microsoft Certified Azure AI Engineer and additionally I have successfully completed a 6-month deep learning specialization offered by leading AI engineer Andrew Ng. I have a CS background and I am constantly increasing my theoretical understanding of ML techniques and computing environments.

Work Experience

Data Scientist
IBM | Aug 2023 - Present
Machine Learning
Python 3
NLP (Natural Language Processing)
Neural Networks

I am engaged in projects that concern primarily the development of high-level deep learning models for natural language processing (NLP) purposes.Company website: https://www.ibm.com/

Machine Learning Engineer
Mediatel Data | May 2023 - Aug 2023
Machine Learning
Python 3
NLP (Natural Language Processing)
Neural Networks

I was engaged in projects in regard to performing named entity recognition for non-English data using innovative deep learning techniques.Company website: https://www.mediatel.ro/

Education

Queen Mary University of London
Master's degree・Big Data Science
Oct 2020 - Oct 2021
University of Craiova
Bachelor's degree・Computer Science
Sep 2017 - Sep 2020

Personal Projects

Personal Project building a Streamlit-based web application for core NLP tasksIconOpenNewWindows
2021
NLP (Natural Language Processing)
Streamlit
Streamlit-based web application with the purpose of providing its users with on-the-go solutions to various fundamental NLP tasks either from a manually inputted or from a URL-extracted text, such as: Ngram extraction, plotting POS tags frequency, named entity extraction or sentiment analysis.
Academic Project implementing text classification using ML (Amazon Reviews)IconOpenNewWindows
2020
Python
Matplotlib
IPython
Nltk
NLP (Natural Language Processing)
Support Vector Machines
Jupyter notebook written in Python as part of an academic assignment for the Natural Language Processing module for automatically classifying Amazon reviews as real or fake; includes exploratory data analysis for hypothesis testing using matplotlib, NLTK preprocessing, feature vectors, SVM classifier, model training, cross validation, testing and evaluation. The F Score of this model evaluated to roughly 0.8.

Certifications & Awards

AWS Certified Machine Learning - Specialty
Amazon Web Services (AWS) | Dec 2023
Microsoft Certified: Azure AI Engineer Associate
Microsoft | Apr 2023