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Data Scientist with 1+ years in data analysis & machine learning
Bachelor of Statistics graduate from Gadjah Mada University with interests in data analysis, data visualization, machine learning, and statistical modeling. Proficient in Python, R, SQL, Excel, SPSS, Eviews, and Minitab. Experienced in data cleaning, data processing, and end-to-end analysis through internships and various academic projects. Active in organizations and committees so as to have good communication, coordination, and teamwork skills. Motivated to continuously improve competence through training and certification and ready to contribute to data-driven projects in a professional environment.
PT Revolusi Cita Edukasi (RevoU)
Study Independen
August 1, 2024 – June 30, 2024
Universitas Gadjah Mada
Bachelor of Statistics (S.Stat)
August 1, 2021 – June 30, 2025
KIMBERLY CLARK SOFTEX INDONESIA
MARKETING SUPPORT
December 1, 2025 – May 1, 2026
Kota Tangerang Selatan, Banten, Indonesia
UNIVERSITAS GADJAH MADA
ASSISTANT FOR APPLIED VARIANCE ANALYSIS LABORATORY
February 1, 2025 – June 1, 2025
Yogyakarta, Special Region of Yogyakarta, Indonesia
PT. ASTRA AGRO LESTARI TBK
DATA SCIENTIST INTERN
October 1, 2024 – December 1, 2024
Kota Administrasi Jakarta Timur, Jakarta, Indonesia
UNIVERSITAS GADJAH MADA
ASSISTANT FOR CATEGORICAL DATA ANALYSIS LABORATORY
February 1, 2024 – June 1, 2024
Yogyakarta, Special Region of Yogyakarta, Indonesia
BADAN PUSAT STATISTIKA
STUDENT INTERN, PRODUCTION STATISTICS DIVISION
July 1, 2023 – August 1, 2023
Boyolali, Central Java, Indonesia
Sales Data Analysis for Karirnex Beauty E-Commerce Beauty Store
October 1, 2025 – October 1, 2025
Process and analyze 2,000+ e-commerce sales transaction data using Excel (VLOOKUP, INDEX-MATCH, IF, SUM, AVERAGE, COUNT). Aggregate data using Pivot Tables to identify sales patterns and trends. Creating interactive dashboards with charts and slicers for dynamic data visualization and exploration.
Analysis of Repair Duration Norms Based on Heavy Equipment and Truck Groups
October 1, 2024 – December 1, 2024
Analyzed historical data from 2023-2024 related to heavy equipment and truck repairs from two sites to address uncontrolled variations in repair duration. Developed repair duration standards using statistical analysis and a Gradient Boosting Regressor model, resulting in 104 norms for various types of repairs. Providing the most optimal mechanical recommendations based on historical performance, thereby supporting operational efficiency, reducing unit downtime, and increasing repair productivity.
Bike Sales Analysis: Capstone Project RevoU Tech Academy
February 1, 2024 – June 1, 2024
Analyzing six years of sales data with 18 attributes and 113,037 rows to understand sales trends, customer preferences, and factors affecting sales performance. Creating an interactive dashboard using Google Looker Studio and analyzing data to increase sales profit from France from 8.94% to 15% within one year using SQL. Received the “Highest Scoring Team” award in the Capstone Project Pitching.
Application of K-Means Clustering Algorithm for Mapping Food Crop Productivity by District/City in Central Java Province in 2019
July 1, 2023 – August 1, 2023
Analyzing food crop productivity in districts/cities in Central Java Province using 2019 Statistics Agency data to support regional food security. Using the K-Means Clustering method with variables of rice, corn, soybean, peanut, mung bean, sweet potato, and cassava productivity to group regions. Resulting in 3 regional clusters based on productivity characteristics, namely a cluster containing 13 Regencies/Cities, 19 Regencies/Cities, and 3 Regencies/Cities, as a basis for recommendations for land optimization and productivity improvement.
Data Analysis & Software Development with AI Certification
Unknown
June 1, 2026 – Present
Microsoft Excel Specialist Training by KarirNex
KarirNex
June 1, 2026 – Present
Data Analysis Intensive Training by Special Skill
Special Skill
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's diverse academic projects, involvement in multiple university organizations, and internships suggest a proactive and collaborative individual. Their participation in a capstone project where they received the 'Highest Scoring Team' award indicates a strong team player with a drive for excellence. The breadth of skills and tools learned, combined with a stated motivation for continuous improvement, aligns well with a dynamic and growth-oriented work culture. The academic projects are well-aligned with the target role of Data Scientist.
Soft Skills & Operational Fit
The candidate demonstrates strong teamwork, communication, time management, adaptability, and attention to detail through their involvement in various organizational and committee experiences. Their academic background and project work indicate a data-driven mindset and a readiness to contribute to professional environments. The assistant roles at the university also highlight their ability to prepare and deliver technical material, which is a valuable operational skill.