Slav Petkovic

About Me

Data Science | Artificial Intelligence | Business Intelligence
As an experienced data scientist and AI developer, I specialize in building intelligent systems, tools, and solutions that connect data, machine learning, and business outcomes. With a solid foundation in data engineering, predictive modeling, and applied AI, I create data-driven applications that generate strategic insights and drive innovation. My work is grounded in structured frameworks such as first-principles thinking, the scientific method, CRISP-DM, and Agile development—methodologies that guide a systematic approach to problem-solving, enabling rapid iteration and continuous refinement of complex systems into impactful AI solutions.

My Natural Languages: English, Serbian, Bosnian, Croatian, Bulgarian, Rusian.

My Machine Languages: Python, C#, R, Julia, JavaScript, Java.

What I do

I specialize in building robust ETL and ELT pipelines that move and transform data from diverse sources into reliable, analytics-ready structures. Using Python, PySpark, SQL, and APIs, alongside integration platforms such as Fivetran, Funnel, and Stitch, I develop efficient workflows that support scalable data operations. I work extensively with modern data platforms including Databricks, Snowflake, Azure Data Factory, and Microsoft Fabric to design end-to-end data solutions. My focus is on turning raw data into actionable intelligence that drives strategic, data-informed decisions.
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Python Programming

With a deep understanding of Python's versatile capabilities, I engineer sophisticated data structures and algorithms. My proficiency in Python is demonstrated through automation, data analysis, and building scalable ETL pipelines, contributing to robust data solutions.
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Data Science

My data science expertise lies in extracting meaningful insights from complex data sets. Using statistical analysis and predictive modeling, I uncover trends and patterns that inform business strategies and drive innovation.
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Artificial Intelligence

Harnessing modern AI frameworks and platforms—including LangChain, Pydantic-AI, LlamaIndex, Mosaic AI, and Azure OpenAI, I develop interactive systems powered by LLMs and vectorized search. These technologies enable designing advanced AI agents that mimic human reasoning, streamline workflows, and unlock new product capabilities.
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Data Engineering

Using Azure services in combination with Databricks and Snowflake, I architect and maintain scalable, reliable data pipelines based on a clean medallion architecture. By leveraging PySpark and Spark SQL, I ensure high data quality, consistency, and accessibility, supporting seamless data flow from extraction to preparing data that’s ready for AI development.
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MSSQL | MySQL | SQLite | Postgresql

My SQL expertise spans across MSSQL, MySQL, and SQLite. I design, query, and manage databases, ensuring data integrity and performance. My work supports complex data ecosystems and business intelligence applications.
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Power BI | Tableau | Sisense | Looker

Proficient in Power BI, Tableau and Sisense, I transform data into rich visuals and interactive reports, enabling stakeholders to grasp complex scenarios and make data-driven decisions. My dashboards reflect a synthesis of clarity, accuracy, and actionable insights.
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Google Analytics & Big Query

Utilizing Google Analytics and Big Query, I harness the strength of web analytics and large-scale data processing. This allows me to make data-informed decisions to enhance user engagement and business performance
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Robotics

Combining Python with Raspberry Pi, I delve into the innovative world of robotics. I develop smart devices and systems that can sense, process, and act upon data, opening avenues for intelligent automation and real-world problem-solving.