About Me

Data Science | Artificial Intelligence | Business Intelligence

As a passionate data scientist and AI developer with years of experience, I blend data science, artificial intelligence, and business intelligence to create cutting-edge solutions. Skilled in data engineering, data mining, and predictive modeling, able to create data-centric applications that yield strategic business insights. I am well-trained to leverage scientific method, comprehensive research, and robust organizational skills to analyze and refine complex processes efficiently.

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

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

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What I do

As a data science expert, I specialize in data mining, extracting deep insights from complex datasets. I build intricate ETL (Extract, Transform, Load) processes from diverse sources, leveraging Python, APIs, and platforms like Funnel and Stitch for efficient data integration. My work focuses on transforming raw data into valuable business intelligence, driving strategic decisions through clear, actionable insights.

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.

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.

AI / LLM / VectorDB/ LangChain

In the realm of AI, I utilize LangChain and custom frameworks, integrating technologies such as vectorized databases with high-speed retrieval, coupled with Large Language Models and relevant automation tools to provide human-like interaction with chatbots and AI agents.

Data Engineering

As a Data Engineer, I architect and maintain scalable and reliable data pipelines. Leveraging my skills in Python, I ensure data quality and accessibility, enabling seamless data flow from extraction to insights.

MSSQL, MySQL, SQLite

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.

Power BI / Tableau / Sisense

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.

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

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.

Work Experience

CPAP.com

As a Data Scientist and Business Architect, I lead comprehensive analytical studies, working with structured and unstructured data, using mathematical and statistical methods to interpret and analyze business and customer-related data. I performed Customer Lifetime Value Analysis, forecasted item sales, and developed Power BI-based reports for all company teams. I am responsible for conducting experiments to discover new solutions to data challenges and for building data environments according to stakeholder requirements.

cpap.com

Ash Projects

As a Data Scientist, I developed ETL processes for diverse customer projects using Python, Django and Flask frameworks. I built real-time dashboards using Sisense and Power BI and crafted a customer behavior system using time series analysis for occupancy and transaction predictions. My great effort was placed on creating web applications with features such as facial recognition, mask detection, gender detection, age detection, and distance tracking, by applying machine learning for computer vision on platforms like Raspberry Pi and Jetson Nano equipped with Intel RealSense cameras.

ashprojects.com

HDSupply

As a Data Scientist, I employed machine learning techniques for data mining and modeling. I crafted a series of web scrapers and API scripts for data enrichment utilizing custom-developed similarity algorithms. I monitored performance processes using Python, SQL, and R, and served as a primary data source for scorecards and KPIs. Additionally, I led development projects, including company acquisitions, taxonomy, and time series analysis for future forecasting.

hdsupply.com

FLIR/BrickStream

As a Solution Analyst, my role involved analyzing customer data, leading project management efforts, designing site layouts, configuring and validating various video sensors ensuring accurate data delivery. Furthermore, I onboarded and trained new employees and managed a team overseas and played a key role in deploying real-time dashboards for major retailers. Notably, I led a project for ASDA that spanned 320 stores, coordinated international teams, and provided technical guidance for specialty retail projects.

flir.com

The Home Depot

As a Business Data Analyst, I specialized in data analysis and problem-solving, utilizing Excel, and SQL Server to draw insights and solutions. My responsibilities extended to training, contract negotiation, and supporting a wide range of programs and teams, managing the MicroStrategy and SharePoint, conducting labor studies, developing KPIs, integrating automation, and improving efficiency.

homedepot.com

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Featured Projects

Hierarchical Autonomous Agents

The Hierarchical Autonomous Agent Swarm (HAAS) is an advanced system composed of three interconnected agents, each specialized to perform tasks related to querying SQL database and analytics. This system enables efficient handling of natural language prompts to execute and analyze data from SQL database.

GitHub

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RAG - AI Agent

Application designed based on retrieval-augmented generation model, using Langchain framework and Streamlit interface to provides question-answering capabilities using Large Language Models (LLM). It allows users to upload documents, process them, and use a LLM to answer questions based on the content of these documents.

GitHub

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Mars Rover

An innovative robotic platform featuring multi-terrain mobility, equipped with sensory and control systems, designed for versatile applications ranging from environmental monitoring to automated material handling.

GitHub

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Synthetica app

GUI-based application designed to interact with OpenAI's GPT and DALL-E models, providing users with the ability to generate text and image responses to prompts. It features a modern interface, history management of prompts, and secure credential handling for API interactions.

GitHub

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