Aleksandar Pavlović
Looking for a Data Scientist with a leadership experience? Aleksandar has 5+ years of experience in challenging Data Science projects across Med-Tech, retail, automotive, and niche AI. With proficiency in Python, Google AI, and more, Aleksandar will easily adapt to your data-related needs. Hire him today!
ParkourSC
March 2024 - ongoing
ParkourSC is the leading speed-at-scale platform for global supply chains, built to harness real-time data and unlock new value.
Optimized and automated supply chain processes to improve efficiency and reduce operational costs.
Developed a machine learning model to estimate the number of SKUs reaching sales targets, aiding inventory and sales planning.
Led a Proof of Concept (PoC) development for the data team, preparing a demo for a potential new client.
Main tech stack:
Python, Databricks, PyCharm, VSCode, SQL, SingleStore, Jira, Git, PyTest
Quantacap
September 2023 - March 2024
Quantacap automates Due Diligence of eCommerce business acquisitions with Data Science and AI.
Worked on contract-based projects for automating invoice processing.
Customized and improved Google's Document AI invoice processor to enhance accuracy.
Integrated a Human-In-The-Loop system to review invoices when the AI confidence score fell below a predefined threshold.
Main tech stack:
Google AI, Python
Delhaize Serbia
October 2023 - February 2024
Delhaize Serbia or Delhaize Maxi, is a Serbian supermarket chain owned by Ahold Delhaize.
Conducted market research to track trends and customer preferences.
Analyzed shopping habits of loyalty program members to improve customer engagement.
Built machine learning models to forecast sales and optimize inventory.
Main tech stack:
SQL, OracleSQL, Power BI, Python, PyCharm
VizLore Serbia
October 2021 - October 2023
VizLore is a Group of technology companies consisting of VizLore LLC, Vizlore Labs Foundation, Bright Habitat, and VLDAM. All the companies in the group are involved in diverse research and innovation projects worldwide.
Worked on Horizon 2020 projects, contributing to research and data analysis.
Built a custom dashboard for real-time tracking of sensor readings, incorporating statistical filters such as moving averages, standard deviation, and confidence intervals.
Developed a machine learning model to estimate fermentation time in kefir-induced milk processing, improving process efficiency.
Main tech stack:
Python, PyCharm, Git, BitBucket, Plotly, PostgreSQL, PyTest, SQL
Continental
April 2020 – December 2020
Continental is a global automotive technology company specializing in innovative solutions for mobility, safety, and automation.
Developed a computer vision algorithm for depth estimation, improving accuracy in automotive applications.
Designed and implemented an algorithm for performance evaluation of the team's camera component.
Optimized depth estimation techniques to enhance real-time processing efficiency.
Main tech stack:
C++, Git, Visual Studio, Matlab, Confluence
Visaris
March 2019 – March 2020
Visaris is a technology company specializing in digital X-ray imaging and diagnostic systems.
Maintained and developed code for image processing in C++, used with X-ray machines manufactured by Visaris.
Developed a new method for estimating absorbed patient dose, improving diagnostic accuracy.
Optimized existing image processing techniques to enhance system performance and reliability.
Main tech stack:
C++, Visual Studio, Matlab
Signal Processing (Master)
Faculty of Technical Sciences, Novi Sad
2018-2020
Biomedical Engineering (Bachelor)
Faculty of Technical Sciences, Novi Sad
2014-2018

Serbian - native

English - C1

Kevin Skibbe
Head of Engineering @ Calendly
Go-to platform for team scaling
I appreciated the FatCat Coders' dedication to quality, timeliness of the work, and ability to be flexible to meet our needs. Their level of responsiveness and engagement was wonderful.

Ron Shah
CEO @ Bizly
Reliable and Responsive Developers
I’m happy with how Bizly and FCC worked together. I highly value the experts they provided for our products and how reliable and responsive they are. This simplifies collaboration significantly!
