Hello, I'm Muhammad Rozy Syahputra!
Data Scientist & Machine Learning Engineer from Indonesia.
Specialist in Python, Data Science, Data Visualization, ML/DL and Statistics.
Work Experience
Personal Assistant
I provide comprehensive administrative support with exceptional accuracy and efficiency. I draft, edit, and format professional documents including letters, reports, and presentations while maintaining precise data entry and database management. My organized filing systems enable rapid document retrieval, and I excel at task prioritization to consistently meet deadlines. I also coordinate complex logistics for meetings, events, and conferences, ensuring seamless execution from planning through completion.
- Microsoft Office
- Data Entry
Staff IT Internship
I develop and implement comprehensive digital solutions, including building e-commerce websites from concept to deployment. I specialize in employee management systems, maintaining 98% accuracy in attendance tracking and automated report generation. Through rigorous User Acceptance Testing and System Integration Testing, I enhance application performance and user experience, achieving measurable improvements like the 15% user satisfaction increase I delivered for Click Present applications by identifying and resolving critical usability issues.
- HTML
- CSS
- JavaScript
- Git
- GitHub
- Object-Oriented Programming
Projects
Employee Attrition Problem Analysis
This project solves the problem of employee attrition which reaches more than 10% using in-depth analysis with output in the form of a business dashboard and attrition predictions using machine learning, as well as several recommended action items that can be carried out by companies.
Student Dropout Problem Analysis and Prediction
This project solves the problem of student dropout which is quite high, reaching more than 32% using in-depth analysis with output in the form of a business dashboard and student status predictions using machine learning, as well as several recommended action items that can be carried out by the institution.
Image Classification using Deep Learning
In this project, I leveraged the TensorFlow library and Keras API to design and train a convolutional neural network (CNN) for classifying fashion item images into different categories. Using the Fashion MNIST dataset, I developed a CNN model that effectively predicts clothing types with strong accuracy.
Customer Segmentation Analysis
This project applies RFM analysis and a machine learning approach for customer segmentation, with the algorithm chosen based on the dataset. I’ll also perform EDA to understand the data and explore group characteristics using categorical features.
Credit Scoring Analytics & Prediction
In this project, I solved the Finance Company Problem to determine whether their Customers have good, standard or poor credit scores.
Movies Recommendation System
Recommendation systems predict users' ratings or preferences for specific items. This is done by analyzing past user behavior or the behavior of other users, so that recommendations are based on data about user preferences or behavior over time.
Certifications
Applied Data Science
Building data science projects in accordance with the stages of data science project development based on case studies encountered in the industry.
Machine Learning Development
Learn about computer vision, natural language processing, and deployment with standards that refer to industry competency standards. Build deep learning projects that focus on processing and predicting text and image data.
Machine Learning for Beginners
Develop machine learning projects focused on classification, regression, and clustering on tabular data.
Data Analysis with Python
Performing various stages of data analysis to address business challenges using the Python programming language.
AI Fundamentals
Examine various basic concepts in AI and their applications thoroughly.
Data Scientist in Python
The course teaches extraction of valuable insights from complex datasets, algorithm selection, hyperparameter tuning, and result interpretation for data-driven decisions. Diverse cross-industry datasets build versatility for success in any data science role.
Education
Bachelor of Computer Science
GPA: 3.65 / 4.00 (Cum Laude)
- Honors: Cumlaude.
- Relevant Coursework: Artificial Intelligence & Machine Learning, Data Science, Data Mining, Advanced Database.
- Actively participates in over 5+ campus events, such as competitions, webinars, and skills training workshops.
Diploma in Computer Engineering
GPA: 3.65 / 4.00 (Cum Laude)
- Honors: Cumlaude.
- Relevant Coursework: Pract. Data Structures & Algorithms, Pract. Data Communication, RDBMS Essentials & T-SQL Programming.
- Actively participates in over 10+ campus events, such as competitions, webinars, and skills training workshops.
Data Scientist
IDCamp is a scholarship program organized by Indosat Ooredoo Hutchison to develop Indonesian digital talent who are ready to compete in the digital economy. The main IDCamp curriculum was developed by Dicoding, a Google Authorized Training Partner in Indonesia.
- Data Scientist Learning Path Graduate
- The best graduates are selected to gain access to advanced learning (intermediate to advanced levels).
About me
Data Science & Machine Learning is my core expertise
Enthusiastic data science and machine learning professional with a strong foundation in Python, data analysis, machine learning algorithms, and statistical methods. Passionate about deriving actionable insights from data to support organizational goals. Eager to contribute to data-driven projects, enhance my technical expertise, and collaborate with cross-functional teams to deliver impactful results.