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Antoni Analytics Studio

Datový analytik | Python, R, SQL | Přeměna komplexních dat na použitelné obchodní poznatky

📍 Located in: Indonésie 🕐
🎯🤝 Otevřeno pro jednorázovou nebo dlouhodobou práci ⏱️ 30 hod/týden k dispozici
👤 Freelancer
✔ Ověřeno
⭐ Úroveň Zinner 1
🔗 Najděte Antoni Analytics Studio online
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💰 Ceny
Obvyklá hodinová sazba: $15.00/hod
Zájem o projekty v hodnotě: $100.00 – $500.00
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Dovednosti ověřené Zinn Hub

Ověřený Zinner

Antoni Analytics Studio prokázal své dovednosti Zinn Hub a poskytl důkazy o své práci. Každý ověřený Zinner prochází praktickou kontrolou kvality – takže si můžete najmout s důvěrou.

🛡️ Ověřeno od November 2026

Členem od
Nov 2026
Zinns uvedeny
0
Naposledy aktivní
2 hours před

O mně

I am a Data Analyst holding a Bachelor of Statistics from Universitas Indonesia. My core passion lies in solving complex problems and uncovering hidden insights from messy datasets. I believe that data is only valuable when it can be translated into clear, decision-ready business intelligence. My approach combines statistical methodology with modern computational tools to help businesses act with confidence.

My technical toolkit is centered around Python, R, and SQL. I use these tools for everything from advanced regression modeling and classification to data cleaning and visualisation. Additionally, I am proficient in leveraging Natural Language Processing (NLP) techniques to extract value from unstructured text data. Whether a client needs predictive modelling, a comprehensive dashboard, or a written analytical report, I adapt my workflow and deliverables to the project's requirements and the client's preferred tools — please specify your stack when reaching out so I can confirm compatibility.

To give you a practical example of my capabilities, I recently completed a comprehensive data analysis project evaluating user sentiment towards three leading AI chatbots: ChatGPT, Gemini, and Claude. I scraped and analyzed 8,480 Google Play reviews using Python and the VADER sentiment analysis framework. The goal was to go beyond simple satisfaction scores and uncover the specific reasons behind user complaints and praises. I transformed this volume of unstructured text into clear visualisations and insights, identifying specific feature requests and areas for improvement.

My academic background is complemented by practical experience: an actuarial internship at PT Padma Radya Aktuaria in the employee benefit division, where I prepared technical calculation reports using Excel, and freelance projects involving regression and classification modelling. I have also completed specialised coursework in Machine Learning & Statistical Analysis and Scientific Computing & Python from WorldQuant University, as well as Data Science Foundations from edX.

I bring discipline and a collaborative approach to every project, and I continuously update my skills to keep my analytical work current. If you need a Data Analyst who can clean your data, build models, and translate the results into clear recommendations, send me a message describing your project — I am ready to get started.

Dovednosti

Technologie a odborné znalosti, na které se tento freelancer specializuje.

Kategorie

Oblasti služeb, pro které je tento freelancer k dispozici.

Portfolio

ChatGPT vs Gemini vs Claude: Analyzing 8,480 Reviews

Ever wondered what users truly think about top AI chatbots? I scraped and analyzed 8,480 Google Play reviews for ChatGPT, Gemini, and Claude. Using Python and VADER (NLP sentiment analysis), I uncovered the specific features users love and the pain points causing frustration. I visualized these insights to reveal exactly where each chatbot excels and where they fall short. This project demonstrates my ability to turn massive amounts of unstructured text into clear, actionable business intelligence.

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Kvalifikace a certifikace

🎓
Bachelor of Statistics
Universitas Indonesia · 2021
🎓
Machine Learning & Statistical Analysis
WorldQuant University · 2020
🎓
Scientific Computing & Python
WorldQuant University · 2020
🎓
Data Science Foundations
edX · 2020
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