Curriculum Vitae

Dimaz Andhika Putra
Statistics student at Universitas Gadjah Mada with a strong interest in data science and data analytics. Possess skills in data preprocessing, data visualization, data analysis, statistics modelling techniques, machine learning, and deep learning using various software and programming languages, honed through academic coursework, competitions, and projects. Eager to explore opportunities where data and technology can be leveraged to drive strategic improvements across various domains.
Sedang berjalan
Universitas Gadjah Mada
S1 • Statistika • IPK 3.92
Februari 2025 - Juli 2025
Machine Learning Engineer Cohort
Coding Camp powered by DBS Foundation • Project Base
- Selected as one of 3000 participants from a competitive selection process
- Completed a training program focused on Machine Learning, Deep Learning, and AI applications
- Consistently earned 4–5 stars (skills/advanced level) on all project submissions on Dicoding
- Collaborated in a team to solve real-world problems using machine learning through a capstone project at the end of the program
- Developed a user-based recommendation system as part of the Machine Learning Team for a rental-purchase platform named ‘Pinjemin’ in a capstone project
Desember 2024 - Juni 2025
Organizational Development Intern
Kalbe Nutritionals (PT Sanghiang Perkasa) • Magang
- Conducted analysis and prepared monthly MPP reports using Excel and Looker Studio for each organizational group to support strategic workforce decisions
- Calculated the 2025 Manpower Planning (MPP) by analyzing historical data and aligning it with future needs
- Researched definitions, key points, and potential development programs for functional competency
- Designed a competency matrix and developed a competency dictionary, linking both to streamline the competency input process for each position
- Developed a "Search Position by Functional Competency" tool to facilitate similar competency analysis
- Performed 6500+ rows data cleaning to update the Kalbe Nutritionals Human Resource Information System (HRIS) dictionary, integrating it with HRIS change tools to simplify usage and improve overall tool performance
- Developed and analyzed business processes for several positions using Makigami method and Genba observations to identify inefficiencies and improvement areas
- Created monitoring dashboards using Excel and Looker Studio for organizational development initiatives, including job profile dashboards and workload analysis dashboards
- Performed FTE (Full-Time Equivalent) calculations and analysis to provide insights on workforce optimization and manpower planning
Juli 2024 - Agustus 2024
Human Capital Intern
PT Len Railway Systems • Magang
- Conducted analysis to adjust the performance evaluation range for contract employees, ensuring alignment with company goals and industry standards
- Performed a salary survey for PT Len Railway Systems to compare the company’s salary levels with market trends, aiding in competitive compensation strategies
- Developed a questionnaire and conducted an employee engagement and satisfaction survey to identify areas for improvement and enhance company well-being
- Compiled an analytical report on "Pengaruh Kepuasan Kerja terhadap Keterikatan dan Kinerja Karyawan PT Len Railway Systems menggunakan Structural Equation Modeling-Partial Least Squares (SEM-PLS)"
Media
September 2023 - Februari 2024
Coordinator of Competition Division
Ajang Pengenalan Statistika dan Festival Data #18 UGM • Organisasi
- Led and supported competition division, consisting of 2 subcoordinators and 13 members
- Responsible for external affairs of competition division
- Preparing a work plan, timeline, and budget plan with subcoordinator of competition division
- Preparing and discuss web for competition with web developer
- Coordinate competition division for arrange competitions that are Olimpiade Statistika Matematika (OSM) and The One for highschool student, and also Kompetisi Infografis Statistika (KIS) and Olimpiade Nasional Statistika (ONS) for college student
Media
Agustus 2023 - Juni 2024
Laboratory Teaching Assistant
Departemen Matematika FMIPA UGM • Part Time
- Guided 20+ students through laboratory sessions on Statistics, Data Exploration and Visualization, Applied Regression Analysis, Applied Multivariate Analysis, Statistical Computation, and Introduction to Data Mining course
- Guiding 20+ students hands-on use of SPSS, Minitab, R, and Python for data preprocessing, data visualization, statistical analysis, and machine learning
- Collaborated with other assistants to develop course modules for each session
- Prepared assignments, quizzes, and practical exams to develop student practical skills in data analysis
- Responsible for grading assignment, quizzes, and practical exams to provide feedback for student improvement
Februari 2023 - November 2024
Staff of Estimator Bureau (Internal Academic)
Himpunan Mahasiswa Statistika FMIPA UGM • Organisasi
- Responsible for “Delegasi Lomba” program
- Conducted data collection for competition delegation
- Submitted competition funding proposal to Department of Mathematics FMIPA UGM
Media
Februari 2025
Memulai Pemrograman dengan Python
Dicoding Indonesia • KEXL72DN0XG2
Media
Februari 2025
Belajar Dasar Structured Query Language
Dicoding Indonesia • 4EXGVV5YGXRL
Media
Februari 2025
Belajar Dasar Visualisasi Data
Dicoding Indonesia • EYX4GJ036ZDL
Media
Februari 2025
Pengenalan ke Logika Pemrograman
Dicoding Indonesia • 81P2LV6N8ZOY
Media
Januari 2025
Memulai Dasar Pemrograman untuk Menjadi Pengembang Software
Dicoding Indonesia • QLZ93R38MZ5D
Media
November 2024
2nd Winner of Statistics Essay Competition at National Statistics Challenge UB 2024
Studio Statistika Fakultas MIPA Universitas Brawijaya • 00119/UN10.F0901/B/DL.07.05/2024
My team delivered and presented a statistical essay related to the health sector titled "CATALYTIONS: Optimalisasi AI untuk Deteksi Dini Keparahan Katarak melalui Aplikasi Berbasis Transfer Learning Convolutional Neural Network"
Media
Oktober 2024
2nd Winner of Data Mining Competition at ACTION Unesa 2024
Himpunan Mahasiswa Prodi S1 Sains Data Unesa • 014/B/ACTION/HIMASADA/UNESA/X/2024
In the preliminary round, my team prepared a paper titled “Aerosafe: Pemanfaatan Data Mining untuk Prediksi dan Mitigasi Polusi Udara Berbasis Machine Learning”, which applied forecasting and classification methods to analyze and extract insights from air quality data. The journey continued to the final round, where we were given air pollution data to conduct a classification analysis. We successfully secured 2nd place on the provided Kaggle leaderboard. The results were then presented under the title “Menghadapi Polusi: Analisis Penerapan Data Mining untuk Mendeteksi Kualitas Udara”
Media
September 2024
2nd Winner of National Data Analysis Competition at EPSILON UNP 2024
Himpunan Mahasiswa Departemen Statistika UNP • 004/UN35.1.1.1.3.6/SE/EPSILON/HIMASTA/2024
My team presented a data analysis paper titled “AksiGenZ: Platform Optimalisasi Peran Gen Z dalam Pemberantasan Kemiskinan di Indonesia Berbasis Fuzzy Geographically Weighted Clustering dengan Gravitational Search Algorithm dan Geographically Weighted Regression”. This paper also included an innovative proposal for poverty alleviation in Indonesia through a web-based platform named AksiGenZ
Media
Agustus 2024
1st Winner of Statistics Essay Competition at SMATIC 5.0 UNJ
BEM Program Studi Statistika FMIPA UNJ • 1 09/BEMSTAT.b/SMATIC/Stf/VIII/2024
In this competition, my team delivered and presented a statistical essay related to the agriculture sector titled "CornCareX: Aplikasi Deteksi Penyakit pada Daun Tanaman Jagung Berbasis Transfer Learning Convolutional Neural Network"
Media
Januari 2024
4th Place of Statistics Olympiad at POISSON 2024
Unit Kegiatan Mahasiswa Forum Informasi dan Kajian Statistik STIS • 3580.C.420.0924
In this competition, my team advanced through the preliminary round by solving problems related to statistical theory. The journey continued to the semifinal and final rounds, where in the semifinal we presented an analysis titled “Pendekatan Geographically Weighted Panel Regression (GWPR) dalam Menganalisis Faktor-Faktor yang Mempengaruhi Indeks Ketahanan Pangan di Tiga Provinsi Terpadat di Indonesia Tahun 2020-2023,” which was then presented to a panel of judges in the final round