I am a Vienna-based Software Engineer and Survey Engineer with over years of professional experience. I hold a degree in Geodesy from Graz University of Technology, where I contributed as a project and teaching assistant. Currently, I work in the e-commerce and fintech sectors as a Data Scientist, Engineer, and Analyst at Niceshops GmbH and Gateway Ventures GmbH.
Originally from MrkonjiΔ Grad, Republic of Srpska (BA), I completed high school focusing on advanced studies in Mathematics, Logic, and Physics.
π About this blog:
In this blog, weβll explore a variety of topics. The chart below highlights my personal interests, showing which subjects Iβm most passionate about ππ‘:
At the outset, I expect most topics will revolve around software development. However, as this journey unfolds, Iβm excited to see how my interests evolve and where this blog takes us. π
π Number of visits according to Google Analytics:
π Technical Skills
πΌ Work Experience
Data Scientist & Engineer
Niceshops GmbH
π Vienna, Austria
ποΈ Jan 2021 β Present
- Financial analysis and cloud computing
- AI & ML tasks: demand forecasting, dynamic pricing
- Course instruction and research development
overlaping with Data Engineer / Team Lead position
Data Engineer / Team Lead
Gateway Ventures GmbH
π Vienna, Austria
ποΈ Aug 2023 β Present
- Startup valuation models and pitch deck analysis
- Data mining, lake construction, and management
- Leading data scraping projects
overlaping with Data Scientist & Engineer position
Teaching Assistant
TU Graz
π Graz, Austria
ποΈ Mar 2021 β Jan 2022
- Integrated navigation
- Sensor fusion
- Indoor navigation
overlaping with Software Engineering position
Software Engineer
TU Graz
π Graz, Austria
ποΈ Sep 2019 β Jan 2022
- Software architecture and data analysis
- Project management and ML forecasting
- Focus on electric vehicle testing and automation
overlaping with Teaching Assistant position
π Education
Masterβs in Computer Science
Graz University of Technology
π Graz, Austria
ποΈ 2022 β 2024
Masterβs in Geodesy
Graz University of Technology
π Graz, Austria
ποΈ 2019 β 2024
BSc in Geomatics Engineering
Graz University of Technology
π Graz, Austria
ποΈ 2015 β 2019
π― Key Projects
Projects
-
π Stock Prices Predictor (AI)
This project integrates Artificial Intelligence (AI) and Machine Learning (ML) techniques to predict stock price fluctuations by analyzing indices like S&P 500, Dow Jones, and DAX. It focuses on enhancing precision and decision-making in stock price predictions. -
π² Lotto Numbers Predictor (Python)
Developed a computational model using statistical and analytical methods to predict numbers likely to appear in future lottery draws. The project aims to discover patterns in historical data to improve lottery number forecasting. -
π Scientific Paper Miner - SPaRC (C++)
A platform similar to a search engine, specifically designed for retrieving scientific papers. It serves as a valuable resource for researchers and professionals by offering efficient access to scholarly content. -
π³ Pollen Tree Detector (AI/Image Detection)
Automated method for detecting and identifying trees from satellite images, which can help predict seasonal pollen spread in cities. This is especially useful in mitigating seasonal allergies caused by airborne pollen. -
π‘ Different Signal Processing Projects (TSA/Python)
Focused on GNSS signal processing, including encoding and decoding techniques. These projects aim to safeguard against spoofing attacks and analyze GNSS time series data. -
π Gravity Anomaly Maps (Python/Physics)
A project based on the GRACE mission that uses satellite data to create detailed gravity anomaly maps of Earth, providing insights into mass distribution for climate and environmental studies. -
π Kalman Filter Β· Advanced Kalman Filter Β· Particle Filter (Python/Statistics)
Implemented state estimation and sensor fusion techniques for indoor navigation using Kalman Filters and Particle Filters, enhancing accuracy in localization and tracking. -
πΈ Dynamic Pricing Strategy and Competitor Prices Crawler (Python/Proxy/WebCrawling)
Developed dynamic pricing strategies and web crawlers to analyze competitor pricing data, optimizing product prices to boost sales and maintain market competitiveness. -
π Demand Prediction (AI)
Used demand forecasting techniques to predict the demand for products over the coming year, considering factors like seasonality and public holidays. The project aims to improve inventory management and operational decisions. -
πΌ Tinder for Investors (AI) - TL
Developed a platform connecting investors with startups, enabling them to provide assistance and receive equity. Startups can present challenges and receive actionable guidance from investors. -
π Data Lake Creation (GCP) - TL
Amalgamated various data sources such as Pipedrive, Mixpanel, Google Analytics, and backend datasets to create a comprehensive data lake, providing valuable insights for business decision-making. -
π Pitch Deck Analyzer (AI) - TL
Automated analysis of startup pitch decks, utilizing AI to extract and assess relevant information for investment decisions, aligning the deck with predefined search criteria. -
π‘ Startup Value Estimator (ML/AI) - TL
Developed a machine learning model to estimate startup value based on data submissions. The evaluation process determines whether the startup meets investment criteria.
π Languages
π§ Contact
- Email: milankacar@live.com
- LinkedIn: linkedin.com/in/milan-kacar
- Website: milankacar.github.io/CV
Letβs connect and share knowledge. Together, we can build something extraordinary! π
βοΈ Hobbies
- π Reading: Aiming for a book a week
- ποΈββοΈ Fitness: Passionate about fitness and healthy living
- βοΈ Traveling: An avid traveler always looking for new adventures
- π Trading: Enthusiastic about market analysis and trading strategies