Emilija Trajkovska

EMILIJA TRAJKOVSKA DATE OF BIRTH 12/01/1983 OBJECTIVE EDUCATION Highly skilled and results-oriented marketing and public relations professional with more than 10 years of experience leading successful marketing campaigns for attracting foreign direct investments and export promotion and managing public relationship strategies. Faculty of Law “Ss.Cyril and Methodius University” in Skopje 2002 – 2006 Brainster Academy – Data Science November 2022 – February 2024 Language: English More than 10 years working on promotion of country’s favorable business environment, economic stability, strategic location, and investment incentives trough conducting market research, identifying potential investors, and developing targeted marketing campaigns to highlight the investment opportunities in North Macedonia. CONTACT DETAILS PHONE: +- ADDRESS: st. Milan Zechar No.12 Kumanovo, North Macedonia EMAIL:- WORK EXPERIENCE Institution: Agency for Foreign Investment and Export Promotion of the Republic of North Macedonia (Invest North Macedonia) Current job: Head of Marketing and Public Relation Department 2012–Present - Lead a team of marketing professionals, providing guidance and support to achieve department goals and objectives - Conduct market research and competitor analysis to identify trends and opportunities for business growth. - Manage the company’s public relations activities, including media relations, press releases and provide access to public information - Managed social media accounts, creating engaging content and growing the company’s online presence. - Lead the development and implementation of investment promotional campaign to attract foreign direct investments to the country (Invest Macedonia campaign). - Develop and manage promotional materials, such as brochures, leaflets, presentations, investment guides, and industry analysis reports. - Organizing promotional events, trade shows, and business conferences to facilitate networking and showcase investment/export advantages. SKILLS - - Data Analysis: Using of SQL, Python, DWH, Power BI. Statistical Analysis: Experience with statistical tools and techniques, such as regression analysis, hypothesis testing, and predictive modeling. Data Visualization: Skilled in using tools like Power BI, or matplotlib to create visually compelling representations of data. Integration of Big Data and Machine learning. PROJECTS AT DATA SCIENCE ACADEMY: 1. DWH Winter project In this winter project, I undertook the design and implementation of a comprehensive database focused on Salary Management for employees worldwide. The primary objective was to establish a robust system capable of storing and managing essential employee information while seamlessly handling monthly salary computations. • Skills: Data Wrangling and database management (My SQL) · SQL · Data Engineering · Database Design · Database Management System (DBMS) 2. BI project I contributed to the development of the Breathe.mk application. Specifically, I took on the responsibility of constructing an administrative dashboard using Power BI. This dashboard was designed to facilitate efficient tracking of inspectors' work for administrators of the application Breathe.mk. • Skills: Data Visualization (Microsoft Power BI) · Data Analysis · DAX 3. Human Resources (HR) Business Intelligence (BI) solution Our Business Intelligence (BI) solution will feature four report pages: Department, Actives, Separations, and Recruitment. Each page will offer visualizations and insights tailored to specific aspects of employee management, such as total employees, turnover ratios, demographics, and recruitment sources. Users will have the ability to filter data by department, year, quarter, and more, enabling in-depth analysis and informed decision-making. • Skills: SQL · Data Visualization (Microsoft Power BI) · Data Analysis · Database Management System (DBMS) · DAX 4. Python project – Air pollution in Skopje In my role on the Air Pollution project in Skopje, I utilized Python for comprehensive data analysis and visualization. This initiative was strategically designed to uncover air pollution trends, offering critical insights into environmental challenges and facilitating the formulation of effective mitigation strategies. My contributions included employing advanced Python techniques to derive meaningful conclusions from the data, ultimately enhancing our understanding of the complex dynamics of air quality in Skopje. • Skills: Python (Programming Language) · Data Visualization · Data Analysis · Data Preparation · Data Processing 5. Final project – Machine learning for Kungul Contributed on the development of the Kungul mobile application, empowering consumers to quickly assess the safety of their skincare products through a simple scan. The app not only identifies harmful ingredients but also provides recommendations for healthier alternatives. My responsibilities included refining and enriching data through web scraping and developing an Optical Character Recognition (OCR) model to extract ingredients from products. These ingredients were then matched with safety information in the database, contributing to a project that empowers consumers to make informed and safe choices. • Skills: Python, Data preparation · Web scraping · Deep learning · Machine learning