Curriculum Vitae
Rasendra Akbar Satyatama
As a Statistics undergraduate, I'm passionate about data analysis and transforming insights into impactful visualizations through interactive dashboards using Streamlit and Power BI. I have a strong enthusiasm for machine learning and enjoy exploring how algorithms can drive smarter decision-making. Beyond Python, I possess advanced skills in Microsoft Excel for data processing and automation. In addition to my technical expertise, I also have a creative side with experience in graphic design, using tools such as Adobe Illustrator and Figma to present data and concepts not only in analytical reports but also as engaging infographics and visually compelling outputs.
Sedang berjalan
Institut Teknologi Sepuluh Nopember
S1 • Statistika • IPK 3.69
Maret 2025 - Juni 2025
Assistant Lecturer of Data Mining
Institut Teknologi Sepuluh Nopember • Contract Base
Assisted in teaching Data Mining, covering data preprocessing, machine learning algorithms, evaluation metrics, and guided students through hands-on Kaggle competitions.
Media
Februari 2025 - Juli 2025
Machine Learning Engineer Cohort
Coding Camp powered by DBS Foundation • Contract Base
Participated in the Machine Learning Engineer learning path Coding Camp powered by DBS Foundation under a contract program. Gained hands-on experience in Machine Learning, model development, and real-world applications through mentoring, group projects, and industry-relevant training.
Media
Februari 2025 - Maret 2025
Project-Based Virtual Intern : Data Scientist HCI x Rakamin Academy
Home Credit Indonesia • Project Base
Successfully completed the Home Credit Indonesia Data Scientist Internship with an 81.22 average score and Excellent performance, gaining skills in Machine Learning, Programming, and Business Acumen.
Media
Januari 2025 - Januari 2025
Sentiment Analysis Project Intern
PT Bank Negara Indonesia (Persero) Tbk • Magang
Conducted a comparative sentiment analysis of BNI's mobile banking app and its latest version, wondr, to identify insights for improvement.
Project Link: https://rrdash.shinyapps.io/Dashboard_BNI/
Media
Maret 2024 - Juni 2024
Assistant Lecturer of Computational Statistics
Institut Teknologi Sepuluh Nopember • Contract Base
Taught statistical programming using R and Python, covering hypothesis testing, regression, correlation, and resampling techniques like bootstrap and jackknife.
Media
Februari 2024 - Januari 2025
Information Media Staff
BEM FSAD • Organisasi
Responsible for designing Instagram feed content and leading the Advance Media Schooling program as Chief Executive
Media
Januari 2023 - Januari 2023
Assistant Lecturer of Computer Programming
Institut Teknologi Sepuluh Nopember • Contract Base
Instructed C++ programming, from basic syntax and logic exercises to advanced topics like classes and structs.
Media
Mei 2025
Machine Learning Terapan
Dicoding Indonesia • 1RXYEG92QZVM
In the Machine Learning Terapan program, I learned how to design machine learning systems and manage end-to-end ML projects, including communication and portfolio building. The course included hands-on case studies in predictive analytics (k-NN, Random Forest, AdaBoost), sentiment analysis (Deep Learning, SVM), computer vision for image recognition and object detection, and recommendation systems, providing practical experience across diverse applications.
Media
April 2025
Belajar Fundamental Deep Learning
Dicoding Indonesia • 0LZ0RV743P65
In the Belajar Fundamental Deep Learning program, I explored key concepts of deep learning and neural networks using TensorFlow and Keras, with hands-on projects in NLP, time series analysis, image classification, and recommendation systems. The course also covered reinforcement learning, model deployment, and an introduction to generative AI, providing both theoretical understanding and practical implementation skills.
Media
Maret 2025
Belajar Analisis Data dengan Python
Dicoding Indonesia • ERZRED01NXYV
In the Belajar Analisis Data dengan Python program, I learned fundamental concepts of data analysis, descriptive statistics, and key considerations in data processing. The course also covered practical skills such as data wrangling, exploratory data analysis (EDA), and data visualization, culminating in the development of an interactive dashboard using Streamlit.
Media
Oktober 2024
Data Analyst Project: Business Decision Research
DQLab • DQLABDVIZ2TOVARE
https://academy.dqlab.id/Certificate_check/result/DQLABDVIZ2TOVARE#mycertificate
Media
Agustus 2024
Problem Solving (Intermediate)
HackerRank • 1DB5B6ACDF73
Credential URL: https://www.hackerrank.com/certificates/1db5b6acdf73
Media
Januari 2022
1st Place, Infographic Competition, GEBYAR STATISTIKA II (G-STAT-II)
Himpunan Mahasiswa Program Studi Statistika, Universitas Halu Oleo • 16.004/PP/PAN-PEL/HMPS-S1-STATISTIKA/IX/2022