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Data Science with less than a year in Data Analysis & Forecasting
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Assessing your cultural and operational fit
Statistics graduate with practical experience in data analysis, dashboard development, forecasting, and statistical modeling. Experienced in processing nationwide education workforce datasets at Pusdatin Kemendikdasmen and transforming complex data into actionable insights through analytical reporting and visualization. Proficient in Python, SQL, Excel, Tableau, and Looker Studio, with a strong foundation in data-driven decision making, forecasting methods, and business analytics. Seeking an entry-level position in Data Analytics, Business Intelligence, or related analytical roles.
Sebelas Maret University
Statistics · Statistics
August 1, 2021 – June 30, 2025
Pusat Data dan Teknologi Informasi (Kemendikdasmen)
Statistician Intern
November 1, 2025 – May 1, 2026
India
Badan Pusat Statistik Surakarta
Statistics Student Internship
January 1, 2023 – February 1, 2023
India
CO2 Emissions Analysis from Economic Production: Developed vs Developing Countries
September 1, 2024 – December 31, 2024
Analyzed 30+ years of historical CO2 emissions data using Python to identify emission trends across developed and developing countries. Collaborated in a 6-member team to conduct exploratory and time series analysis on environmental datasets. Developed 1 interactive dashboard in Looker Studio to visualize key emission indicators and country-level comparisons.
View ProjectGen Z Mental Wellness & Digital Lifestyle Analysis
January 1, 2024 – June 1, 2026
Analyzed a publicly available dataset containing 1,000+ observations using SQL to explore relationships between digital lifestyle behaviors and mental well-being among Generation Z. Wrote SQL queries for data cleaning, aggregation, and exploratory analysis to identify behavioral patterns and key findings. Generated data-driven insights through descriptive analysis and query-based reporting.
Forecasting Indonesia Consumer Price Index Using Fuzzy Time Series and Particle Swarm Optimization
January 1, 2019 – December 31, 2023
Developed forecasting models using Chen Fuzzy Time Series (FTS) and Particle Swarm Optimization (PSO) on 60 monthly Consumer Price Index observations (2019-2023). Performed data preprocessing, fuzzification, FLR/FLRG construction, interval optimization, and forecasting model evaluation using Python. Compared forecasting performance between FTS and FTS-PSO using RMSE and MAPE evaluation metrics. Generated 12-month ahead forecasts to analyze future CPI trends and model performance.
Statistician Intern certificate
Pusat Data dan Teknologi Informasi (Kemendikdasmen)
November 1, 2025 – Present
Data Science Track
Startup Campus MSIB Kampus Merdeka
September 1, 2024 – Present
Staff Secretary certificate
Himpunan Mahasiswa Statistika UNS
February 1, 2022 – Present
Cultural Fit Analysis
The candidate's academic projects, internships, and certifications show a strong interest and dedication to the Data Science field. Their involvement in organizational activities and team-based projects indicates a collaborative spirit. The diversity of projects (forecasting, lifestyle analysis, environmental data) suggests a broad interest in applying data science to various domains, which is a positive indicator for cultural fit in a dynamic team.
Soft Skills & Operational Fit
The candidate demonstrates good soft skills such as teamwork, problem-solving, attention to detail, and communication through project collaborations and organizational experience. Their adaptability and data-driven mindset align well with operational roles requiring analytical insights.