Freelance Data Visualizers in Türkiye

Freelance Data Visualizers in TürkiyeFreelance Data Visualizers in Türkiye

Projects People

UI & Product Design Expert

$100k+: Earned

21x: Hired

174: Followers

Top

expert

UI & Product Design Expert

Cover image for 2024 Design tool survey

2024 Design tool survey

0

2.2K

Cover image for aesthetic tests

aesthetic tests

11

104

Cover image for Unused hero

1

13

363

Cover image for mobile onboard

2

550

Data Visualizer(1)

Gülçin Gümüş

proİstanbul, Turkey

SaaS & AI Product Designer for Dashboards and Apps

357: Followers

SaaS & AI Product Designer for Dashboards and Apps

Cover image for SyncWorks Dashboard — SaaS Analytics UI

SyncWorks Dashboard — SaaS Analytics UI

2

21

Cover image for Crane — Enterprise Data Dashboard

Crane — Enterprise Data Dashboard

3

22

Cover image for Zynora — AI Fitness App: Onboarding to Recovery

Zynora — AI Fitness App: Onboarding to Recovery

13

41

Cover image for SaaS Enterprise Dashboard Experience – Fintech Analytics 💰

SaaS Enterprise Dashboard Experience – Fintech Analytics 💰

16

36

Data Visualizer(2)

İstanbul, Turkey

BI & Data Analyst | Power BI Expert, SQL, KPI Dashboards

BI & Data Analyst | Power BI Expert, SQL, KPI Dashboards

Cover image for Power BI Sales Analytics Dashboard

Power BI Sales Analytics Dashboard (4 pages) 🔗 Live Preview: View the interactive dashboard before purchase https://app.powerbi.com/view?r=eyJrIjoiYjcwNWE2OWYtM2ViZi00NDc5LTlmMTgtZWMzN2IxN2JkYTY1IiwidCI6IjYyZTI4NmIzLWE4ZDMtNDFkYS04Y2E4LWUwNzFhZTMxZGUwMiIsImMiOjl9&pageName=cd07523f864688ce9c1b Sale on Contra https://contra.com/products/gOrTVHYk-power-bi-sales-dashboard-or-editable-sales-analytics-template Designed to help you analyze revenue, sales performance, customer behavior, and product insights in one professional report. This editable template includes 4 interactive pages with modern visuals, KPI tracking, and dynamic filtering. ✨ What makes this dashboard special? • Clean and professional design suitable for any business • Fully editable Power BI (.pbix) file included • 4 ready-to-use pages: Business Overview, Sales Performance, Customer Analytics, Product Performance • Interactive filters and drill-down capabilities • Sample dataset included for easy customization • Perfect for portfolio, business analysis, or client reporting

1

4

293

Cover image for Power BI Sales Analytics Dashboard

Power BI Sales Analytics Dashboard Template Designed to help you analyze revenue, sales performance, customer behavior, and product insights in one professional report. This editable template includes 4 interactive pages with modern visuals, KPI tracking, and dynamic filtering. Sale on https://contra.com/products/LiiSClYA-sales-analytics-power-bi-dashboard-report (🔗 Live Preview) ✨ Why it is special? • Clean and professional design suitable for any business • Fully editable Power BI (.pbix) file included • 4 ready-to-use pages • Sample dataset included for easy customization • Perfect for portfolio, business analysis, or client reporting

1

2

386

Cover image for Retail Revenue & Customer Insights

Retail Revenue & Customer Insights Dashboard (Power BI) This Power BI dashboard provides a comprehensive view of retail performance, combining revenue, orders, margin, and customer value metrics in a single executive-ready report. It enables stakeholders to track sales trends over time, analyze regional performance, and understand customer behavior through KPIs such as AOV, purchase frequency, and estimated lifetime value. The report is designed for fast decision-making, featuring automated filtering, geographic insights, and clean visual hierarchy suitable for leadership and operational teams. Built with scalable data modeling and designed to support automated refresh and alerting workflows.

4

457

Cover image for Retail Performance Overview (Looker Studio)

Retail Performance Overview (Looker Studio)

6

7

1.1K

Data Visualizer(6)

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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32

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

1

242

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

0

166

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

0

61

Data Visualizer(3)

İstanbul, Turkey

Designing brands and building Framer websites that inspire

8: Followers

expert

Designing brands and building Framer websites that inspire

Cover image for Infographic Designs for the Turkish Airlines Blog

Infographic Designs for the Turkish Airlines Blog

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7

Cover image for Gülle Law Website — Framer Design, Development

Gülle Law Website — Framer Design, Development

0

13

Website and Brand Identity Design for Venhancer

0

11

Cover image for Dynamic Wrap Deck Design for IZEA

Dynamic Wrap Deck Design for IZEA

0

14

Data Visualizer(1)

İstanbul, Turkey

Art Director & Brand Designer crafting strategic brands.

5.0: Rating

4: Followers

Art Director & Brand Designer crafting strategic brands.

Omnicon | Brand Identity

0

2

Fitness University | Brand Identity

0

3

Zeliş Çiftliği | Brand Identity

0

0

Tepe Park | Brand Identity

0

1

Data Visualizer(1)

Ahmet Furkan Soysal

İstanbul, Turkey

IT Specialist & Software Engineer

New to Contra

IT Specialist & Software Engineer

Cover image for YakitPusula is a fuel price

YakitPusula is a fuel price platform I designed and built as a working demo for Turkey: gasoline, diesel and LPG prices by city, station comparison and a few tools that make the numbers useful. What's inside: A live price board styled like a station pole sign City and station comparison with filters and favorites Trip and monthly cost calculator, plus an LPG vs. gasoline payback check 180 day price history with a 14 day forecast and confidence band An assistant that answers questions like "how much is a round trip to Ankara?" using the site's own data User panel with price alerts, and an admin panel with price management, data source status and a REST API The architecture is planned as Next.js, NestJS and PostgreSQL. Data and forecasting are the parts I enjoy most, so if you're building something data heavy, feel free to reach out.

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32

Cover image for At TRT World I worked

At TRT World I worked on the migration of the channel's digital archive, about 826,000 objects in total, moving from the old system to a new one. My part was writing the Python scripts that moved the data: pulling records out, mapping metadata to the new structure, checking batches and loading them in. At that volume small mistakes multiply fast, so most of the work was making the process repeatable and easy to verify. I've spent years in IT and systems work across hospitality, media and manufacturing, so data migrations, integrations and cleanup jobs are familiar ground for me. If you're stuck moving data from one system to another, I can help.

0

25

Cover image for This one is less about

This one is less about looks and more about what happens after someone hits "Submit". I built a walking skeleton of a multi-tenant form platform: two isolated tenants running on the same code. A form submission is written together with an outbox event, processed idempotently (sending the same request twice never creates a second record), turned into a consent record, and then waits for a person to approve, link or reject it. Every step lands in an audit log that carries no personal data. There's also an isolation screen that reads both tenants side by side to show that nothing leaks between them. The full version runs on Node.js with a database on the server side. This is the kind of backend work I like: boring in the best way, predictable and easy to trust.

0

28

Cover image for LUMEN is a minimal e-commerce

LUMEN is a minimal e-commerce concept I built around one idea: the product should feel alive while you scroll. The hero bottle tilts and turns in 3D as the page moves, and the product cards rise into place one by one instead of just sitting there. I kept the layout calm on purpose, with lots of space, a warm palette and a serif and sans pairing, so the motion stands out without getting noisy. Everything is plain HTML, CSS and JavaScript with no heavy 3D library, so it stays fast on mobile too. If you have a product brand and want a store that feels a bit more premium than a standard template, I'd be happy to talk.

0

36

Data Visualizer(1)

proİstanbul, Turkey

Low-Code/No-Code Specialist

1x: Hired

21: Followers

Low-Code/No-Code Specialist

Cover image for Daily Meta Ads Reporting Workflow

Daily Meta Ads Reporting Workflow

1

32

Cover image for My dad imports rugs. Every

My dad imports rugs. Every new piece gets photographed on the floor and posted to Instagram. I wanted customers to see how these pieces actually look in a home. So I built an automation. 🤓 He sends a photo to a Telegram bot. Gemini 2.5 Pro analyzes the rug, identifying origin, motifs, color palette, and weave technique. That feeds into a second call that writes an interior photography prompt. Gemini generates two styled room renders. Veo 3.1 produces a cinematic camera transition between them. Topaz Labs then upscales Veo's 1080p 24fps output to 4K 60fps. Next up, making the rooms look less like renders and more like real apartments 😄 The stack: n8n · Gemini 2.5 Pro · Veo 3.1 · Topaz Labs

1

3

451

Cover image for Google Analytics 4 Morning Report

Google Analytics 4 Morning Report

1

9

Cover image for Connecting Meta Spend to Real Revenue

Connecting Meta Spend to Real Revenue

1

9

Data Visualizer(1)