Available for practical project work

Nemanja Filipović

Python automation & web developer

Websites, Python tools, and automation for real business problems.

Automation / Web

Tools

pythonscrapingtroubleshooting
Illustrated portrait of Nemanja Filipović

Available for freelance/project work across business websites, Python tools, and data workflows.

I build fast business websites, web scrapers, data-processing scripts, reconciliation tools, and log-analysis utilities. The focus is simple: clear inputs, reliable outputs, and software that solves the actual problem.

Production experience across cloud automation, data integrity, support tooling, SQL Server, Windows systems, logs, and incident troubleshooting.

PythonWeb scrapingData processingBusiness websitesJavaScriptAngularAstroReactAutomation

Selected projects

Plain examples, no inflated claims.

A mix of public work, private/client-style tooling, and non-confidential project descriptions.

Business website / landing page

MediCare Lo website

Open
Preview of the MediCare Lo website homepage

Problem: A business needed a clean web presence with domain and deployment handled properly.

Solution: Business website setup with responsive layout, clear contact path, custom domain, and Vercel deployment workflow.

Result: A practical landing page foundation for business visibility and direct contact.

AstroVercelDNS

Support tooling / log analysis

LogDashboard

Open

Problem: Production troubleshooting gets slower when logs are hard to search and inspect.

Solution: Custom log viewer for filtering, searching, and reviewing operational log data more efficiently.

Result: Less manual log inspection during support and incident work.

Support toolingLogsTroubleshooting

Python / data processing

Report reconciliation tool

Problem: Manual comparison of financial reports from different formats.

Solution: Python workflow that extracts PDF tables, compares them with Excel reports, and outputs discrepancies.

Result: Faster report checking and cleaner reconciliation.

PythonpandasPDF extractionExcel

Data collection / odds aggregation

Odds aggregation tool

Problem: Odds data from different sources needs normalization before it can be compared.

Solution: Python tool for collecting odds data, normalizing bookmaker markets, comparing prices, and detecting arbitrage patterns for data-analysis purposes.

Result: Structured odds comparison dataset for technical analysis. Not betting advice.

PythonScrapingNormalization

Python / automation

Web scraper toolkit

Problem: Public website data is useful, but copying it manually is not repeatable.

Solution: Reusable scraping scripts for collecting structured public data and exporting it into usable formats.

Result: Clean exports for research, monitoring, reporting, or business workflows.

PythonCSVExcelJSON

Services

Project-based technical work that solves operational problems.

Websites, Python data processing, scraping, desktop utilities, reconciliation workflows, and support tools built for clear outputs and maintainable handoff.

Business websites & landing pages

Problem: Small businesses need a clear online presence without a slow, overbuilt website.

What I build: Simple, fast websites for clinics, small businesses, personal brands, and service providers.

Output: Responsive website, contact buttons, Google-friendly structure, deployment, and domain setup.

AstroTailwindVercel

Python data processing

Problem: Research and business data often arrives messy, duplicated, or split across files.

What I build: Data cleanup and analysis scripts for academic research, reports, and business workflows.

Output: Excel files, cleaned datasets, charts, reproducible scripts, PDF/CSV extraction.

PythonpandasExcel

Web scraping & data collection

Problem: Manual data collection from public websites is slow and hard to repeat.

What I build: Structured data collection from public websites with clear rules and practical exports.

Output: CSV, Excel, JSON, database export, scheduled collection where appropriate.

ScrapingAutomationExports

Desktop tools & reconciliation

Problem: Teams lose time comparing files, reports, exports, and operational data by hand.

What I build: Small internal tools that remove repetitive manual work and make checks easier to repeat.

Output: File comparison, report reconciliation, log collection, Excel exports, support utilities.

PythonDesktopReports

What I need from you

Good inputs make the work faster.

You do not need a technical specification. A few examples and the desired output are usually enough to start.

For data projects

Sample Excel/CSV/PDF files, desired output, rules for matching or cleaning, and deadline.

For websites

Business name, logo/colors if available, pages needed, contact details, domain/hosting access.

For scraping

Source websites, fields needed, output format, frequency, and known limits.

Core stack

What I work with.

The stack covers Python data tools, scraping, websites, production support, logs, and cloud workflows without fake skill percentages.

Python data tools

Cleaning, matching, extracting, comparing, and exporting data for real workflows.

PythonpandasExcel automationCSVPDF table extractionReport reconciliationData cleaningData comparison

Scraping & automation

Structured public data collection, repeatable exports, and scheduled scripts.

Web scrapingData collectionScheduled scriptsStructured exportsOdds aggregationSource normalization

Web stack

Fast websites and frontend work with practical deployment and domain setup.

AstroAngularReactTypeScriptTailwind CSSHTMLCSSJavaScriptResponsive designVercel deploymentCustom domainsDNS setup

Systems & support

Production support context across Windows, SQL, .NET environments, and integrations.

SQL ServerWindows ServerIISASP.NET/.NETMSMQJIRAL3 supportIncident documentationTroubleshooting

Observability & logs

Log analysis, support tooling, and troubleshooting utilities for operational work.

Log analysisCustom log viewersFluent BitLuaPowerShellOperational support tooling

Cloud & workflows

Automation and reliability workflows around cloud and event data pipelines.

Azure Logic AppsAuto-remediation workflowsData pipeline integrityProduction reliability

Production background

Professional context behind the work.

Compact background only: cloud automation, SQL/.NET/Windows environments, support tooling, logs, and data integrity.

  1. NCR Voyix

    Technical Consultant

    March 2025 - Present

    • Azure Logic Apps automation for auto-remediation workflows.
    • Fluent Bit and Lua scripting for real-time event data.
    • Data pipeline integrity, technical review, testing, mentorship, and solution quality.

    current role

  2. NCR Voyix

    SW Support Engineer I

    July 2023 - March 2025

    • L3 support for Loyalty Pro Application in retail environments.
    • Troubleshooting across SQL, ASP.NET, .NET, Windows Server, IIS, MSMQ, POS, pump systems, market operations, and ecommerce integrations.
    • JIRA ticketing, documentation, internal support tooling, and PowerShell GUI automation.
  3. NCR Corporation

    Customer Care Representative

    March 2022 - July 2023

    • Python application for reconciling discrepancies across financial reports.
    • PDF table extraction to pandas dataframes and Excel report output.
  4. DDC MLS

    Data Entry Clerk

    March 2021 - February 2022

    • Operational data entry work with attention to accuracy and repeatable process.
View LinkedIn for full history

Contact

Have a practical software problem?

Send the task, example files or links, and the output you want. I will tell you what can be built, how long it should take, and what the cleanest approach is.