Skills & Experience
Who I Am
I’m a third-year IT engineering student focused on data analytics.
I enjoy turning raw data into insights
using tools like Python, visualizations, and predictive models. My background also includes Linux systems
and networking.
Looking Ahead
I’ll begin a data-focused internship in Summer 2025.
My goal is to sharpen my real-world analytics skills,
improve how I evaluate models, and keep growing into a confident, hands-on data analyst.
Technical Competencies
Data analytics:
- Python (Pandas, NumPy, Matplotlib, Seaborn)
- Machine Learning (Scikit-learn)
- Deep Learning (TensorFlow)
- Git version control
- CRISP-DM methodology
Other Experience
Viafin (2019 – Present):
- Radio link, router configuration (Ericsson, Ceragon, OpenWRT)
- Linux system administration
- Network design and troubleshooting
- VPN solutions and security
- Project management
Used Car Price Prediction
Modeled used car prices using real-world data and regression techniques. Gained hands-on experience in preprocessing and visualizing datasets.
Football Market Value
Predicted football player market values with deep learning. Practiced using TensorFlow and Keras.
Machine Learning Exercises
Comprehensive set of ML exercises using various algorithms. Learned to evaluate models with scikit-learn.
Fingrid Data
Python app to fetch and review time series from Fingrid’s open data API. CLI-based tool with CSV output support and notebooks for quick insights.
Deep Learning JAMK
Course projects involving neural networks, image classification, and NLP fundamentals.
In Progress
I continuously explore new projects and datasets to grow as a data analyst and developer.
