About Me


This résumé tracks my evolution in a certain period of time – from my bachelor's degree to the present day. You can explore how my story has been altered and written by my individual experiences and by big decisions that led me to where I am today, experienced in Data Analysis and knowledgeable in Data Science as a recent MSc student at The University of Padua, Italy (Top 200 Universities in the World). As an enthusiastic reader and amateur writer, I see Data as an untold story that waits to be shown to the world as more than just values and words, but as valuable knowledge that can drive innovation. Let’s connect.

Work Experience


Mar 2024 - Current

Data Science Intern - Baker Hughes

Florence, Italy

As a Data Science Intern i was working on my Thesis Master Project within the Operational excellence Team . I was working on an Operations Research problems with the Goal of improving the operational processes for two Clients.

Feb 2022 - Sep 2022

Junior Data Analyst - ALKALOID AD

Skopje, MK

Analyzing and interpreting sets of data related to Logistics of Pharmaceutical and Cosmetic products. The data was used to support business decisions, identify areas for improvement, and develop insights that drive growth and innovation. Key responsibilities:

Jan 2020 - Jan 2022

Logistics Analyst - ARHI PLUS ENGINEERING

Skopje, MK

Jan 2018 - Dec 2019

Junior Engineer - ARHIPRO MACEDONIA

Skopje, MK

During this initial phase of my career, I acquired many different skills, and every day was a new learning opportunity. My job was not a traditional job with specified responsibilities but a job where you must adapt and learn as many things as you can in order to solve different problems. Main responsibilities:

Education


2022 - 2024

Università degli Studi di Padova

Padova, IT

Master of Science

DATA SCIENCE, Machine Learning for Intelligent Systems

Relevant Coursework: • Machine Learning • Statistical Learning • Fundamentals of Information Systems • Big Data • Optimization for Data Science • Foundations of Databases • Time Series Data

2014 - 2018

Faculty of Mechanical Engineering at Ss.Cyril and Methodius University of Skopje

Skopje, MK

Mechanical Engineering / Energy and Environmental Engineering

Skills


Programming Languages: Python, R, SQL

Data Preparation (Pandas, NumPy)

Data Visualization (Matplotlib, Seaborn)

Machine Learning (Scikit-Learn, PyTorch)

Big Data (MapReduce Hadoop, Apache Spark, Streaming)

Databases and Cloud

Microsoft Excel (Microsoft 365)

GitHub (Version Control)

Agile Methodologies


Languages