Hi, I’m Marijana
Data Analyst and Scientist

As a data analysis expert, I specialize in helping individuals and small to medium-sized organizations effectively manage and extract valuable insights from their data. My passion lies in data science, and I'm committed to demonstrating its substantial value in decision-making processes across both research and business domains. My work focuses on bridging the gap between complex data and actionable insights, making data science more accessible and applicable to a wide range of clients. I strive to popularize data-driven approaches, empowering organizations to harness the full potential of their information for strategic growth and innovation.

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About Me

With a Ph.D. in Biotechnical Sciences, specializing in Forestry, my professional journey has undergone a transformative shift into Data Science. This transition stems from my passion and interest in data analysis and R programming language. Besides my academic research background, I have entered into the domain of business analytics thanks to the Business Science University. My area of focus is applying data science to research and business.

About Me

Portfolio

HR Analytics Dashboard

HR Analytics Dashboard

This dashboard built with Tableau empowers HR professionals and leadership to make data-driven decisions, offering insights into hiring trends and salary distributions. It optimizes recruitment strategies and enhances performance management through educational and geographical data analysis. Future enhancements aim to integrate predictive analytics for employee churn, include engagement metrics, and develop custom alerts for critical HR KPIs, further solidifying its role as a comprehensive HR management tool.

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Shiny Pollen App - explore pollen levels for any location and manage your allergies

Login credentials: user2, pass2. Pollen App is a comprehensive allergy management tool designed to help users monitor pollen levels, track their allergy symptoms, and make informed decisions about their outdoor activities. This Shiny application provides real-time and forecasted pollen data for locations worldwide, offering personalized health recommendations based on current pollen levels.

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Shiny Pollen App - explore pollen levels for any location and manage your allergies
Interactive Quarto Dasboard - Earthquakes in Croatia from 1990

Interactive Quarto Dasboard - Earthquakes in Croatia from 1990

This dashboard displays earthquake data for Croatia from 1990 to the present. The data is sourced from the USGS (United States Geological Survey) database, which is updated daily at 9:00 AM UTC. Dashboard allows filtering of data by date and magnitude, displays earthquakes on an interactive map, and provides detailed information in a tabular format. For the most accurate and up-to-date information on seismic activity in Croatia, it is recommended to consult local seismological services.

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Segmenting Shopping Mall Customers into Clusters

Customer segmentation is more than just a statistical exercise; it's a strategic imperative. By identifying distinct customer groups, businesses can craft personalized experiences, optimize marketing efforts, and tailor product offerings to meet diverse needs. This project employs advanced techniques, including K-means clustering, to uncover patterns within customer data, providing a roadmap for strategic decision-making.

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Segmenting Shopping Mall Customers into Clusters
Customer Segmentation App

Customer Segmentation App

Customer Segmentation App is a powerful tool that goes beyond traditional marketing strategies. With an interactive interface, this app reveals hidden patterns and distinct customer groups. You're not just analyzing data; you're leveraging insights to supercharge your marketing efforts and foster meaningful connections with your audience.

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Building a Recommendation System

A recommendation system, utilizing cutting-edge machine learning algorithms, creates a personalized experience for users. The ultimate aim is to enhance user engagement and satisfaction by presenting them with items that align with their interests. From enhancing user satisfaction to enabling data-driven decisions, recommender systems offer a strategic edge, fostering loyalty, and ensuring a competitive advantage. Embrace the power of personalization, and drive your business to new heights in the digital era.

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Building a Recommendation System
Sales Analyzer App

Sales Analyzer App

This app provides engaging experience for exploring, visualizing, and predicting sales trends over time. Gain deep insights into historical sales data to identify patterns and trends. Utilize powerful predictive models to forecast future sales and make informed decisions. Navigate seamlessly through the app for a user-friendly data exploration experience. The app facilitates strategic planning by providing actionable insights, helping businesses set realistic goals, and aligning their efforts with long-term objectives.

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Oct 2023 - Present
Self-employed
Andalytics, data analysis services https://www.andalytics.com
Feb 2019 - Oct 2022
Postdoctoral Associate
Faculty of Forestry and Wood Technology
Sep 2016 - Jan 2019
Assistant Expert
Faculty of Forestry and Wood Technology
Aug 2013 - Jun 2016
Store Manager
Kik Textilien und Non-Food

Experience

With over six years of experience in research contributing significantly to various scientific projects and leveraging advanced data processing techniques. From experimental design to rigorous statistical analysis, I have been transforming raw data into meaningful insights. I have extended my expertise to marketing, providing tailored data solutions to individuals and small to medium-sized organizations. This role has allowed me to apply my extensive background in data analysis to real-world challenges, helping businesses make informed decisions.

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Education

2019-2020
Business Science University
Data science for business
2016-2019
Faculty of Forestry and Wood technology, University of Zagreb
Doctor of science in the scientific field of the Biotechnical sciences, Forestry
2009-2012
Faculty of Forestry and Wood technology, University of Zagreb
Master of Urban Forestry, Nature Conservation and Environmental Protection
2006-2009
Faculty of Forestry and Wood technology, University of Zagreb
Bachelor of Urban Forestry, Nature Conservation and Environmental Protection

Publications

Current Status and Recent Stand Structure Dynamics in Mixed Silver Fir—European Beech Forests in Croatian Dinarides: Are There Differences between Managed and Unmanaged Forests?.

Sustainability/MDPI

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Long-term dynamics of stand structure and regeneration in high-stocked selection fir- beech forest stand: Croatian Dinarides case study.

iForest - Biogeosciences and Forestry

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Private forest owners’ sense of landownership: Motives, influential factors and landscape context.

Landscape and Urban Planning/Elsevier

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Stand Regeneration Characteristics of Beech and Fir Forests in Gorski Kotar Region.

South-east European forestry (SEEFOR)

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