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Ivana D. Full-Stack, Cloud and Modern Frameworks

My name is Ivana D. and I have over 3 years of experience in the tech industry. I specialize in the following technologies: Java, Python, AngularJS, React, Bootstrap, etc.. I hold a degree in Bachelor of Computer Science (BCompSc). Some of the notable projects I’ve worked on include: UI/UX Design Portfolio – Multi-Project Showcase, Data Analysis and Machine Learning in Python. I am based in Skopje, North Macedonia. I've successfully completed 2 projects while developing at Softaims.

I employ a methodical and structured approach to solution development, prioritizing deep domain understanding before execution. I excel at systems analysis, creating precise technical specifications, and ensuring that the final solution perfectly maps to the complex business logic it is meant to serve.

My tenure at Softaims has reinforced the importance of careful planning and risk mitigation. I am skilled at breaking down massive, ambiguous problems into manageable, iterative development tasks, ensuring consistent progress and predictable delivery schedules.

I strive for clarity and simplicity in both my technical outputs and my communication. I believe that the most powerful solutions are often the simplest ones, and I am committed to finding those elegant answers for our clients.

Main technologies

  • Full-Stack, Cloud and Modern Frameworks

    3 years

  • Java

    2 Years

  • Python

    2 Years

  • AngularJS

    2 Years

Direct hire

Potentially possible

Previous Company

Nextsense

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Experience Highlights

UI/UX Design Portfolio – Multi-Project Showcase

This portfolio showcases a variety of UI/UX design projects, including web applications, mobile apps, and interactive interfaces. Each page highlights different design challenges, solutions, and workflows. Interactive prototypes are available upon request. This portfolio provides a comprehensive view of my design process, from wireframes and mockups to polished visual designs. Tools used: Figma and prototyping techniques.

Data Analysis and Machine Learning in Python

This project showcases a complete machine learning pipeline implemented in Python using Google Colab. It includes data preprocessing, exploratory data analysis, model training, and evaluation using scikit-learn. The goal was to classify data based on multiple features, and I experimented with various algorithms such as Logistic Regression, Decision Trees, and Random Forests to compare performance. The notebook is fully documented and structured to be reusable for similar classification tasks. Technologies Used: Python, Google Colab, pandas, matplotlib, scikit-learn, NumPy.

Education

  • Faculty of computer science and engineering

    Bachelor of Computer Science (BCompSc) in

Languages

  • English
  • Macedonian
  • Serbian

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