Freelance Data Visualizers in Antalya

Freelance Data Visualizers in AntalyaFreelance Data Visualizers in Antalya

Projects People

Antalya, Turkey

PYTHON DEVELOPER | DATA & AUTOMATION SOLUTIONS

New to Contra

PYTHON DEVELOPER | DATA & AUTOMATION SOLUTIONS

Cover image for Global Job Intelligence — Updated

Global Job Intelligence — Updated Version I designed and built an automated job-market intelligence platform that collects, cleans, normalizes, deduplicates, and analyzes listings from six global sources through daily data pipelines. The latest version includes: • Approximately 20,000 job records • 93 passing automated tests • 16 standardized job categories • Improved parent/child category hierarchy • More accurate normalization and deduplication • Expanded filters for company, category, seniority, work mode, salary availability, source, and publication date • Interactive market intelligence and pipeline-health monitoring • Downloadable CSV and Excel reports Built with Python, PostgreSQL, Pandas, Streamlit, Plotly, APIs, Playwright, and GitHub Actions. This project demonstrates how I transform fragmented web data into reliable, searchable, and decision-ready business intelligence. Live Dashboard: https://global-job-intelligence.streamlit.app/ GitHub: https://github.com/niisa0/global-job-intelligence Portfolio: https://niisa0.github.io/

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Cover image for Built a full Business Analytics

Built a full Business Analytics & Reporting Platform designed to transform raw sales data into decision-ready insights. The platform covers the complete analytics workflow — from data cleaning and KPI calculation to interactive filtering, profitability analysis, automated business insights, and downloadable CSV/Excel reporting. The project is deployed as a live Streamlit web application, allowing users to interact with filters, explore business performance, and generate reports directly in the browser. Key features include dynamic KPI tracking, revenue and profit trend analysis, product/category/regional performance breakdowns, data quality monitoring, and multi-sheet Excel reports with Executive Summary, KPIs, Product Performance, Regional Analysis, and Filtered Data. Built with Python, Pandas, Streamlit, Plotly, and OpenPyXL using a modular project structure focused on maintainability and real-world reporting workflows. Live Demo: https://business-analytics-platform.streamlit.app/ (https://business-analytics-platform.streamlit.app/)GitHub: https://github.com/niisa0/business-analytics-platform

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Cover image for Customer Retention Intelligence is a

Customer Retention Intelligence is a deployed interactive analytics application built to turn 7,043 telecom customer records into actionable retention insights. I designed the project as a modular data product rather than a static dashboard. It combines customer data preparation with dynamic segmentation, a tenure × contract churn risk matrix, churn-driver exploration, priority segment analysis, reported churn reasons, financial exposure metrics, and filtered CSV/Excel exports. The analysis surfaced a clear contract pattern: observed churn was 45.8% among Month-to-Month customers, compared with 10.7% for One Year and 2.5% for Two Year contracts. These results are presented as observed associations rather than causal claims. The codebase separates data processing, analytics, visualization, and export logic for maintainability. The application was built with Python, Pandas, Streamlit, Plotly, and openpyxl and deployed as a live Streamlit application. Live Demo: https://nisa-retention-intelligence.streamlit.app/ Source Code: https://github.com/niisa0/customer-retention-intelligence

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Cover image for I’ve expanded my Web Change

I’ve expanded my Web Change Monitor project with Playwright support, enabling it to monitor selected content on both static and JavaScript-rendered websites. The application uses Requests and Beautiful Soup for static pages, while Playwright handles content that appears only after JavaScript runs. Users can provide a page URL and CSS selector to monitor specific information such as prices, stock availability, product details, or announcements. Key capabilities: • URL and CSS selector validation • Static and JavaScript-rendered page support • SQLite storage for monitored pages and latest values • Comparison of current and previous results • Timestamped change history with old and new values • Error handling and activity logging The system can be adapted for price tracking, stock monitoring, competitor research, and other website-monitoring workflows. Built with Python, Requests, Beautiful Soup, Playwright, SQLite, and Logging. GitHub: https://github.com/niisa0/web-change-monitor (https://github.com/niisa0/web-change-monitor)Portfolio: https://niisa0.github.io/ #Python #Playwright #WebAutomation #WebScraping #SQLite

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Data Visualizer(3)

JG Automation & Data

Antalya, Turkey

Python automation & Data analytics

New to Contra

Python automation & Data analytics

Cover image for Developed an automated e-commerce analytics

Developed an automated e-commerce analytics dashboard using Python and data visualization tools. The system analyzes sales performance, revenue trends, product statistics, and customer behavior to generate interactive dashboards and automated reports for faster business insights.

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Cover image for Developed a Python-based automated financial

Developed a Python-based automated financial reporting system for KPI tracking, revenue analysis, and executive-ready PDF reporting. The project processes monthly financial datasets, generates modern dashboard visualizations, calculates profitability metrics, and automatically exports clean PDF & Excel business reports. Included automated insights generation, expense breakdown analytics, margin tracking, and data visualization workflows to improve reporting efficiency and reduce manual analysis work.

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Cover image for Developed a Python-based automated invoice

Developed a Python-based automated invoice reporting system for analyzing invoice data and generating business-ready reports automatically. The project includes dashboard visualizations, PDF/Excel reporting workflows, and automated analytics to improve reporting efficiency and reduce manual work.

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Cover image for Enhance Sales Strategy with Python-Based Analysis Dashboard

Developed a Python-based sales analysis dashboard for tracking revenue, product performance, and sales trends automatically. The project generates interactive visualizations, business insights, and automated reporting dashboards to support faster decision-making and performance analysis.

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Data Visualizer(1)