Experience
Work Experience
Feb 2025 - Feb 2026
RPA Developer Internal Audit
Kawan Lama Group - Intern
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Developed audit automation bots using UiPath for data extraction and audit findings processing.
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Processed and cleaned data using Excel VBA and created automated PivotTables.
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Supported data-driven audit practices through automation, data visualization, and SQL data integration
Aug 2024 - Jun 2025
Big Data Analytics Laboratory Assistant
Universitas Multimedia Nusantara - Part Time
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Supported 40 students in mastering big data analysis using Google BigQuery and MongoDB.
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Facilitated hands-on practicum sessions to apply statistical and big data concepts.
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Encouraged practical, real-world approaches to develop data analysis skills.
Aug 2024 - Jun 2025
Probability and Statistics Laboratory Assistant
Universitas Multimedia Nusantara - Part Time
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Assisted 40 students in learning Probability and Statistics using R and R Studio.
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Led lab sessions for hands-on practice of statistical concepts and data analysis.
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Provided guidance and support to enhance students’ understanding through practical learning.
Education
Aug 2026 - Aug 2026 (expected)
Universitas Multimedia Nusantara
S1, Information Systems
eighth-semester Information Systems student at Multimedia Nusantara University, passionate about turning data and automation into real impact. My interests include data science, RPA, data visualization, Business Intelligence, and SQL. I enjoy building automation solutions, uncovering insights from data, and collaborating with teams to solve real-world problems.​
Publication & Achievement
30 Agustus 2024
Universitas Multimedia Nusantara
S1, Information Systems
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Developed SIKEBAS, a web-based system to automate waste bank transactions and data management.
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Collaborated with stakeholders using a CBPR approach and implemented the system with Waterfall and RAD methodologies.
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Improved transaction accuracy, reduced manual errors, and supported sustainable waste management.
20 Oktober 2024
Universitas Multimedia Nusantara
S1, Information Systems
Awarded a 4th semester academic scholarship by Universitas Multimedia Nusantara in October 2024 for achieving one of the highest social studies scores, recognizing outstanding academic performance and excellence.
Cerficate
09 February 2026
UiPath automation implementation methodology fundamentals
UiPath Academy
01 March 2023
Fundamental SQL Using FUNCTION and GROUP BY
DQLab
20 February 2023
Statistics using R for Data Science
DQLab
My Projects
Penerapan Business Inteligence loGISTECH Dalam Meningkatkan Operasional di Sektor Logistik
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LoGISTECH leverages Business Intelligence to enhance logistics operational efficiency.
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Utilizes analytics dashboards and machine learning (SVM, Decision Tree, Gradient Boosting).
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Applies descriptive, diagnostic, predictive, and prescriptive analytics to understand delays and predict delivery performance.
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Result : meningkatkan kecepatan pengiriman, kinerja operasional, dan kepuasan pelanggan.
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Automation Workflow Using UiPath for Internal Audit Anomaly Detection
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Handled a total of 5 projects during internship.
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Projects covered retail operations, store management, and inventory processes.
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Developed UiPath robots for detecting damaged goods, automating repetitive workflows, performing ETL (Extract, Transform, Load) processes, and sending reports via email automatically.
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Contributed to operational efficiency, process automation, and data-driven insights across multiple departments.
Clustering Analysis of Air Pollution in South Korea
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Analyzed air pollution in South Korea using K-Means and Agglomerative Clustering.
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Categorized pollution levels based on key pollutants: PM2.5, PM10, O₃, NO₂, SO₂, and CO.
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Compared clustering performance and found Agglomerative Clustering produced more defined and compact clusters.
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Results help support public health strategies through more targeted responses to urban air pollution.
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Result :
Agglomerative clustering outperformed K-Means (Silhouette: 0.558; Davies-Bouldin: 0.735; Calinski-Harabasz: 40242.397), providing more accurate pollution categorization for improved health and air quality strategies.
Prediction of Breast Cancer Detection Using the Decision Tree C4.5 Algorithm
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Developed a Breast Cancer Detection model using the Decision Tree C4.5 algorithm (Python).
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Conducted data preprocessing and EDA, including missing value handling, normalization, and outlier removal.
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Compared gini and entropy criteria to evaluate model performance.
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Utilized Scikit-Learn, Matplotlib, Seaborn, and Jupyter Notebook for modeling and visualization.
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Result:
The model achieved 74% accuracy and an F1 Score of 0.828 using the gini criterion, outperforming entropy and providing more accurate classification of benign and malignant tumors to support better diagnostic decisions.
Organization
Head of Event Organizer Disco XI
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Appointed as Head of Event Organizer for DISCO XI under the Information Systems Student Association.
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Led event planning and coordination to promote unity and networking among students and alumni.
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Managed logistics, participant and speaker communication, and overall event exec
Prastavana Event Master of Ceremonies
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Appointed as Master of Ceremony (MC) for Prastavana, the Information Systems orientation event.
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Introduced event objectives, schedule, and guest speakers related to Information Systems topics.
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Maintained program flow and facilitated interactive sessions such as Q&A.
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Delivered announcements, summarized key takeaways, and closed the event by thanking participants and organizers.
Personal in Charge (ARSA) Division
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Appointed as Person In Charge (PIC) for OMB UMN 2023, assisting new students in understanding university policies and facilities.
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Acted as Master of Ceremony (MC) to deliver essential information and guide students through the orientation program.
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Supported new students in transitioning smoothly into university life and preparing for their academic journey at UMN.