Марія

MARIIA SHMATKOVA
Junior Data Scientist | Data Analyst

CONTACTS
[open contact info](look above in the "contact info" section), [open contact info](look above in the "contact info" section), GitHub, LinkedIn, Telegram, Boryspil, Ukraine

SUMMARY
Data Scientist passionate about coding, with a focus on exploring data to find meaningful insights. Has a solid background in statistical analyses and machine learning using R/Python. Always eager to grow, improve skills, and embrace new challenges and experiences. An open-minded and creative problem-solver who is excited to work in a team of experts to contribute to the company's mission.

HARD SKILLS
Programming and Data Manipulation: Python, R, NumPy, Pandas, SQL, NoSQL, MongoDB
EDA and Visualization: EDA, Seaborn, Matplotlib
Machine Learning and Deep Learning: Scikit-learn, TensorFlow, Keras
NLP and Deployment: NLP, Model Deployment, Docker, Streamlit
Statistical analyses: Python, R, Jamovi, SPSS

LANGUAGES
English - Upper-intermediate; Ukrainian - Native

PROJECT EXPERIENCE
Customer Churn Prediction for a Telecommunications Company (2026) GitHub
Tools/Technologies: Python, Pandas, Keras, Seaborn, Matplotlib, Scikit-learn, Docker, Streamlit
Project description: The project aimed to create a predictive model for customer churn using historical data of the company's clients. The project workflow consisted of gradual steps: performing EDA and data preparation; choosing and training classification models; evaluating their metrics; deploying the model to a user-friendly interface with interactive visual representations; and containerizing it for future use with Docker.
Achievements: Performed data analysis, identified the most efficient churn-prediction model, created an intuitive user interface, and successfully containerized the application using Docker.

WORK EXPERIENCE
University of Split
Statistical demonstrator 10/2023 - 05/2024
• Assisted the professor in conducting practical classes by guiding students in troubleshooting R code
• Evaluated homework assignments to provide constructive feedback, improving students' statistical skills while maintaining consistent communication.
Achievements: Successfully onboarded students in using R for basic statistical computations

VOLUNTEERING EXPERIENCE
Teenergizer (6 months): Provided empathetic counseling and emotional support to youth, helping them navigate personal and mental well-being challenges.
Giving Voice Project (1 year): Served as a Research Assistant, co-designing research frameworks, conducting interviews, translating surveys, and presenting findings at scientific conferences.

EDUCATION
IT School GoIT, Python Data Science and Machine Learning 2025-2026
University of Split, Croatia, Bachelor's degree in Psychology 2022-2025