Tina Shahedi
Research Assistant
Utrecht University
Faculty of Social and Behavioral Science
Department of Methodology & Statistics
Email: t.shahedi@uu.nl
Phone: +31687378500
Date of birth: December 1st, 1993
I am a research assistant at Utrecht University, deeply involved in natural language processing (NLP) and artificial intelligence. My background includes a master’s degree in industrial engineering with a specialization in systems optimization from the University of Tehran, complemented by substantial data science training in mathematics, statistics, machine learning, AI, and Python programming. My work currently involves practical design and application in machine learning and NLP projects, particularly focusing on the use of AI to analyze and interpret complex data patterns. Dedicated to technological advancement, I am committed to applying my diverse skills in machine learning and data analysis to drive forward developments in AI and NLP, ultimately enhancing both communication and our understanding of data-driven insights.
Education
2023-present
Research and Education Assistant
Utrecht University – Faculty of Social and Behavioural Sciences
Supervisor: Dr. Ayoub Bagheri & Dr. Anastasia Giachanou
Master Degree
2019-2022
M.Sc. in Industrial Engineering – Systems Optimization
School of Industrial engineering, College of Engineering, University of Tehran – Tehran, Iran
GPA: 18.42/20 (4/4)
Supervisor: Dr. Masoud Rabbani
Bachelor Degree
2013-2018
B.Sc. in Applied Mathematics
Faculty of Mathematics, K. N. Toosi University of Technology, Tehran, Iran
GPA: 14.26/20 (Last 3years GPA: 16.13/20 (3.38/4))
Skills
Experience
Jun 2022 – Aug 2022
Research and Development Specialist
Company: IMIDRO
Task and Achievements
- Conducted research and development in the field of company productivity in the mining industry
- Investigated the company’s performance and identified areas for improvement
- Developed a model for measuring and improving production productivity indexes.
- Implemented the model resulting in a 25% increase in production productivity for prioritized products.
Nov 2021 – Feb 2022
Business Analyst Intern
Company: Polwinno (Innovation Center)
Task and Achievements
- Conducting in-depth studies and research in the field of financial technology (Fintech), with a focus on
data-driven insights. - Collaborating on the Fintech project, particularly in refining its business plan through data analysis.
- Designing a value proposition canvas and a business model canvas, supported by feasibility studies and market
analysis. - Engaging in wireframe design and product analysis, utilizing data analytics to inform decision-making and product development in the Fintech project.
- Personalized monetary funds based on users’ risk tolerance, leading to a 25% increase in engagement and retention.
- Improved investment returns by 10% through investment funds and portfolio management.
Sep 2019 – Sep 2022
Graduate Researcher in Supply Chain Modeling
University of Tehran
Task and Achievements
- Gain a deep understanding of the importance of efficient supply chain management for sustainable and resilient operations.
- Developed innovative solution to control cannibalization effect using advanced algorithms.
- Achieved 30% increase in total profit of network while reducing environmental impact.
- Analyzed pricing decisions to optimize results.
Oct 2023-Present
Research & Education Assistant
Utrecht University
Task and Achievement
- Design and development of educational materials for a Machine Learning (ML) summer school program
- writing a research paper based on the project ”Natural Language Processing in Resume Data: The Interplay
Between Gender and Occupation on Resume Writing Style” - Coordination of the website for the International Scientific Conferences focusing on AI and Machine Learning
(BNIC2024). - Assistant on the project “Assessing Reliability of Annotations in the Context of Model Predictions and
Explanations”
