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In this project, we conducted a study using call service data as a case study, applying the KNN and DecisionTreeClassifier methods. Our goal was to extract new insights from the data and generate predictions regarding customer churn. Through comprehensive analysis, we aimed to understand the underlying patterns and factors influencing churn behavior, ultimately enabling proactive retention strategies and informed decision-making. And we successfully completed it within just one week.

Prediction Customer Churn Analysis

AI Science Enthusiast | Fresh Graduate from Universitas Maritim Raja Ali Haji

Aditya Yudha Pratama

The project led my team to clinch the 1st place in a machine learning competition, focusing on image classification of Pempek, a traditional Indonesian dish. We utilized the Xception Model technique along with CNN algorithm for our classification task.

Xception CNN for Pempek Image Classification

Microsoft 365 Fundamentals: Describe Microsoft 365 core services and concepts

Microsoft

Junior Web Developer

Digital Talent Scholarship

As a recent graduate in Computer Science with 3 years of experience in Machine Learning, I excel in data table management, data prediction, and classification using various machine learning algorithms. Successfully developed a facial recognition system for employee classification within a 2-month timeframe. With a strong sense of responsibility, attention to detail, and the ability to collaborate effectively both within teams and independently, I am confident that my skills and experience will enable me to tackle challenges with dedication and proficiency.

Graduated Informatics Engineering Students

Universitas Maritim Raja Ali Haji

Aditya Yudha Pratama Riau Islands, Indonesia || adityayudhapratama127@gmail.com As a recent graduate in Computer Science with 3 years of experience...

My CakeResume

Binar Academy

Student Intern

Successfully completed a customer churn prediction project within just one week, achieving an exceptionally high prediction model accuracy of 97%.

Tanjungpinang, Kota Tanjung Pinang, Kepulauan Riau, Indonesia

I work as the Head of Technology and Information

Ruko Golden Boulevard Blok F2 no.47, JL. Pahlawan Seribu, Buaran Lengkong Karya BSD City, Lengkong Karya, Tangerang, Kota Tangerang Selatan, Banten 15322, Indonesia

VILITERA Entertainment

Chief Technology Officer

Did an internship and worked on a face classification project for employees. Excited to gain valuable experience and skills at the company.

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