Hire the Best Predictive Analytics Specialists
in Serbia

I help e-commerce and marketing teams turn scattered data into clear insights, reliable reporting, and better business decisions. I work across marketing, e-commerce, product, and financial data — connecting sources such as GA4, Google Ads, Meta Ads, Shopify, CRM, accounting systems and other business platforms into a single reporting and analytics environment. My work typically includes: • E-commerce & Growth Analytics — revenue, conversion, customer behavior, funnels, retention, product and channel performance • Marketing Analytics — GA4, Google Ads, Meta Ads, attribution, CAC, ROAS, LTV and campaign performance • Business & Profitability Analytics — revenue, COGS, gross margin, contribution margin, P&L and unit economics • BI & Reporting — executive KPI dashboards, automated reporting and performance monitoring • Data & Analytics Infrastructure — BigQuery, SQL, APIs, data pipelines and clean data models behind the dashboards I don't just build charts. I focus on making sure the data is accurate, the metrics make sense, and the analysis answers a real business question. Tools I work with: I've worked on projects involving e-commerce performance, marketing attribution, financial KPI reporting, management dashboards, profitability analysis, data integrations and automated reporting systems. If you already have data but it's fragmented, difficult to trust, or difficult to turn into decisions, that's exactly where I can help.

Master Engineer of Information Systems and Technologies with specialized expertise in data science, machine learning, and big data analysis. I bring a versatile skill set, combining strong academic foundations with hands-on experience in delivering high-impact solutions. I excel in programming languages like Python, SAS, MATLAB, R, C#, Java, and C, and I am proficient in tools such as Smartsheet, Power BI, SAS Viya and Excel for data management and automation. Here’s what I offer: ✅ Data Analytics & Visualization Turning raw data into actionable insights using Python, Smartsheet, Excel, and visualization tools. ✅ Data Management & Entry Organizing, cleaning, and managing large datasets efficiently while ensuring accuracy and integrity. ✅ Machine Learning Models Designing, implementing, and fine-tuning algorithms for predictive analytics and automation. ✅ Automation & Workflow Optimization Streamlining processes using Smartsheet, Excel macros, and Python scripts. ✅ Big Data Processing Managing and analyzing large datasets efficiently, ensuring timely, data - driven decisions. I am committed to delivering high-quality results while continuously improving workflows and ensuring your project’s success. Let's connect to discuss how I can support your data-driven goals!

Most companies sitting on years of operational data still can't answer their most important questions: What will fail next? Where are we losing money? What should we do differently? I build the AI and ML systems that answer those questions — reliably, in production, not just in demos. I'm a PhD-trained Senior Applied AI & Data Scientist with 10+ years of experience translating messy, fragmented, domain-specific data into working decision-support systems. My background spans industrial operations, healthcare, agriculture, retail, and oil & gas — environments where the data is imperfect, the stakes are real, and generic solutions don't work. I have delivered production-ready AI/ML systems across several domains: - Retail security: anomaly-detection logic for security gate systems in large retail environments - Agriculture: greenhouse sensor analytics and ML-based decision-support for tomato production optimization - Oil & gas: production analytics, decline-curve interpretation, geospatial analysis, and forecasting dashboards - Healthcare: claims analytics, patient population classification, risk grouping, and payment workflow automation - Travel & pricing: recommendation systems, demand analysis, and personalized pricing automation - Research: peer-reviewed AI/ML and NLP publications, university-level collaboration What I typically build: - Predictive models and forecasting systems for operational and business decisions - Anomaly detection and risk scoring pipelines - Time-series and sensor data analysis - Explainable AI workflows with interpretable outputs for non-technical stakeholders - End-to-end ML proof-of-concepts and production-ready solutions for startups and enterprise teams I work best with clients who have a real business or engineering problem and need someone who can navigate unclear requirements, imperfect data, and domain complexity — and deliver something that actually works.

Tell me what you're trying to achieve, and I'll figure out which AI model, analytics platform, or framework is right then build it. I work with founders and small teams who have a business problem but don't have the time or technical background to figure out how to solve it. Whether you need product analytics, dashboards, AI automation, document processing, or a custom internal tool, I translate your requirements into reliable, maintainable software. Sometimes that means implementing Mixpanel, Amplitude, PostHog, or GA4 and designing an analytics system that answers the right business questions. Other times it's building an LLM-powered assistant, extracting structured data from complex documents, or automating workflows that save hours every week. Over the past 8 years across Data Science, Product Analytics, and AI, I've helped startups and small teams ship things that actually work. Previous Upwork clients rated my work ★★★★★. Recent projects include: - Product analytics implementations — tracking plans, dashboards, funnels, and retention analysis for SaaS teams - An AI assistant combining databases, deterministic business logic, and comprehensive test coverage, delivered as a production-ready PoC within weeks - Legal document extraction achieving 0.97–0.99 precision - A multi-stage evaluation framework for a B2B LLM product I use Python, SQL, LangChain, LangGraph, GPT-4, Claude, Streamlit, AWS, Azure, Docker, Mixpanel, Amplitude, and PostHog — but technology is never the product. The product is clarity, automation, and systems that help your business make better decisions. If you've got a problem that involves data, analytics or AI? Send me a short note about what you're stuck on, and I'll tell you how I'd approach it.