Boško Savić

Primarily working as a Data Scientist for Diligent’s client. Actively involved in a project that centers on leveraging Python, Jupyter Lab, and various data manipulation libraries, such as Pandas, Polars, and NumPy, for data processing, database modeling, and raw data analysis. Responsibilities encompass the development of Python scripts to process and clean large datasets, utilizing efficient data structures for storage, and conducting in-depth analysis of raw data to extract valuable insights. Work is pivotal in optimizing data management and decision-making processes within the organization, frequently working with data formats such as Parquet, Excel, and CSV.

The platform for the development of tools and services in the field of integration and optimization for mobile networks. The platform is intended for other organizations offering mobile network services. It is an end-to-end service that can make predictions and inform the user of what could happen, and in the case of already-realized problems, it can suggest possible solutions. Technologies primarily used are Python (Django framework) and Docker. Developed REST API for base station integration, broke monolith application into microservices (Strangler fig pattern), and wrote documentation.

Organizing and monitoring the development of an Intrinsic Web Platform for collecting, analyzing, and visual representation of data in branding research and consulting. Mentoring data analysts and researchers in new statistical approaches. Engaged as an AWS developer focusing on Serverless, APIs, Computing, Storage, and ML Sagemaker.

Developing tools for data mining, processing, analyzing. Creating insightful reports, automating various tasks, developing ML models (Regression, Classification, Time Series), and Deep Learning algorithms for Facial Expression Recognition, Eye Tracking, Heart rate monitor. Developed UX Capture tool - Chrome extension for tracking Respondent’s behavior on websites. Elected the best worker of Q2 in 2019.