Marija Tosic
Lüneburg
Summary
Data Scientist with a Master’s Degree in Management and Data Science and 3+ years of experience in building scalable, data-driven solutions. Expertise in machine learning (ML), big data technologies, and cloud computing (AWS), with a proven track record of automating workflows and optimizing model training time by 95%, significantly reducing operational costs. Skilled in end-to-end data pipelines, advanced ML models (MTNN, GNN), and leveraging social media data for audience targeting.
Overview
4
4
years of professional experience
1
1
Certification
Work History
Data Scientist
Ailon
02.2022 - Current
- Played a key role in developing a scalable data-driven system for large marketing companies to optimize audience targeting, leveraging machine learning (ML) and big data technologies.
- Built and deployed Python-based modules for web scraping and data crawling from social media platforms (Facebook, YouTube, Twitter, TikTok) to collect user and marker data (e.g., Facebook pages, YouTube channels).
- Designed and implemented end-to-end data pipelines for processing, cleaning, and transforming large-scale datasets, enabling efficient analysis and model training.
- Developed advanced recommendation systems using multitask neural networks (MTNN) and graph neural networks (GNN) to identify and predict connections between users and markers (e.g., pages, channels), automating 2 days of manual work per week.
- Optimized model training performance by implementing distributed computing solutions using AWS cloud services (EC2, Lambda, S3), reducing training time from 3 days to 40 minutes and saving $5,675 annually in computational costs (based on training every 2 weeks using a p3.2xlarge instance).
- Created scalable and efficient workflows by scheduling and orchestrating data pipelines using AWS Step Functions and Lambda, ensuring seamless data processing and model deployment.
Data Scientist Intern
Nissatech Innovation Centre
04.2021 - 06.2021
- Automated tasks with Python scripting, enhancing productivity.
- Evaluated model performance using appropriate metrics such as precision, recall, F1-score, and ROC-AUC curve analysis.
- Utilized various statistical methods to analyze large datasets, generating valuable insights for stakeholders.
Education
M.Sc. - Management and Data Science
Leuphana University
05.2024
Bachelor - Information Systems
Metropolitan University
01.2021
Bachelor - Business Information Systems
New Jersey Institute of Technology
01.2017
Skills
- SQL Database Management
- Machine learning
- Statistical analysis
- Scikit-learn
- Natural language processing
- Neural networks
- GitHub
- Java Programming Language
- AWS Cloud
- PySpark
- Python programming
- Feature engineering
- Deep learning
Certification
- Data Science MicroMasters Program - San Diego University via edX
- Python for Data Science
- Probability and Statistics in Data Science using Python
- Machine Learning Fundamentals
- Big Data Analytics using Spark
Languages
Serbian
Bilingual or Proficient (C2)
English
Bilingual or Proficient (C2)
German
Upper intermediate (B2)
Spanish
Upper intermediate (B2)
Hobbies and Interests
- Tennis, Entrepreneurship, Volleyball
- Ex-professional volleyball player
Timeline
Data Scientist
Ailon
02.2022 - Current
Data Scientist Intern
Nissatech Innovation Centre
04.2021 - 06.2021
Bachelor - Business Information Systems
New Jersey Institute of Technology
M.Sc. - Management and Data Science
Leuphana University
Bachelor - Information Systems
Metropolitan University
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