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Arif G
@arifgecen
Turquía
Inglés, Español, Alemán
Sobre mí
Hi there! I am a professional Statistician and Data Analyst with a solid mathematical background and extensive hands-on experience in R, Python, SPSS, and SQL. I specialize in transforming complex data into actionable insights, rigorous academic reports, and high-performance predictive models. Whether you need hypothesis testing, predictive machine learning pipelines, custom R Shiny dashboards, or data cleaning, I deliver clean code and clear visual interpretations.
Habilidades
Arif G
desconectado •
Tiempo medio de respuesta: 1 hora
Revisa mis servicios
Modelado estadístico y análisis
I will do statistical data analysis, hypothesis testing, and reporting in r and python
Aprendizaje automático
I will build machine learning models, clustering, and predictive
Experiencia laboral
Founder
Veripulser • Trabajador autónomo
Feb 2026 - Present • 6 mos
VeriPulser: AI-Powered Market Intelligence SaaS As the Founder and Lead Full-Stack Developer, I architected and built VeriPulser from the ground up. It is a production-ready SaaS platform that analyzes e-commerce market trends and delivers data-backed investment scores to sellers using advanced AI. Core Highlights: Precision AI Engine: Integrated OpenAI with strict prompt engineering to generate complex market reports in predictable, structured JSON formats. Secure Monetization: Built a robust, backend-driven credit wallet system for pay-per-use AI generation, ensuring zero frontend vulnerabilities. Enterprise Architecture: Designed a scalable Monorepo utilizing a clean Controller-Service-Route pattern to separate business logic from the UI. Dynamic UX: Developed localized (English/Turkish), asynchronous React interfaces featuring multi-step processing states without page reloads. Tech Stack: React.js, Vite, Tailwind CSS, Node.js, Express.js, MySQL, OpenAI API.
Intern
ADES MÜHENDİSLİK • Tiempo parcial
Aug 2025 - Oct 2025 • 2 mos
Data Analysis & Modeling: They develop proficiency in analyzing complex datasets and building predictive models.Software Skills: They gain practical expertise in statistical software and programming languages like R, Python, SAS, or SQL.Data Cleaning & Management: They learn the crucial process of preprocessing, cleaning, and structuring raw data for analysis.Data Visualization: They master the skill of transforming complex data into clear, actionable visual insights using tools like Tableau, Power BI, or ggplot2.
