Data Science with less than a year in data analysis & machine learning
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Data Science graduate with hands-on experience in data analysis, dashboard development, and reporting across diverse domains including weather, health, sales, and finance. Proficient in Python, SQL, R, Power BI, and Google Looker Studio for data wrangling, exploratory analysis, and building interactive dashboards that translate complex data into clear, actionable business insights. Experienced in end-to-end data workflows from data cleaning and validation to visualization and reporting with strong analytical thinking, attention to detail, and a passion for supporting data-driven decision-making across business and operational contexts.
Institut Teknologi Sumatera (ITERA)
Bachelor of Data Science · Data Science
August 1, 2021 – October 1, 2025
Institut Teknologi Sumatera
Algorithm Programming Lab Assistant
August 1, 2024 – December 1, 2024
Bandar Lampung, Lampung, Indonesia
BMKG – Maritime Meteorological Station Panjang
Data Analyst Intern
June 1, 2024 – August 1, 2024
Bandar Lampung, Lampung, Indonesia
PT De Heus Indonesia
Data Entry Intern
November 1, 2019 – January 1, 2020
Bandar Lampung, Lampung, Indonesia
Global Sales Performance Dashboard
December 1, 2025 – January 1, 2026
Analyzed 5,000+ global sales records across multiple countries and regions to identify profitability and sales performance trends. Developed an interactive Google Looker Studio dashboard to monitor key business metrics, including profit, orders, and monthly sales performance. Generated insights by region, product category, and customer segment to support data-driven decision-making.
View ProjectFMCG Sales Analytics Dashboard
December 1, 2025 – January 1, 2026
Analyzed 2,000+ FMCG sales records to identify sales trends, customer behavior patterns, and inventory insights. Performed data cleaning and exploratory analysis using Microsoft Excel and Python to ensure data quality. Developed interactive Power BI dashboards and delivered actionable insights to support business reporting and inventory planning.
Daily Air Temperature Forecasting
February 1, 2025 – September 1, 2025
Developed time series forecasting models using Python to analyze daily air temperature trends from 2,000+ records. Performed data preprocessing and feature engineering on meteorological datasets to improve model accuracy. Generated actionable insights to support environmental monitoring and reporting activities.
Weather and Dengue Correlation Analysis
June 1, 2024 – August 1, 2024
Analyzed 1,900+ weather and dengue health records to identify correlations supporting early warning systems. Applied Support Vector Machine (SVM) classification algorithm using Python for disease prediction analysis. Generated data-driven insights to support public health early warning and decision-making systems.
Bootcamp Data Analyst: Excel and SQL
KarirNex
January 1, 2026 – Present
Bootcamp Microsoft Excel Specialist
KarirNex
January 1, 2026 – Present
Introduction to Data Science and Its Applications Across Industries
Digital Talent Scholarship
January 1, 2026 – Present
AI Engineer
Digital Talent Scholarship
January 1, 2026 – Present
Introduction to Cloud Computing
Digital Talent Scholarship
January 1, 2026 – Present
Career Insights in the Field of Data Analytics
Digital Talent Scholarship
January 1, 2026 – Present
Data Visualization with Looker Studio
MySkill
January 1, 2026 – Present
English Proficiency Test (TOEFL Score: 527)
Language Center ITERA
January 1, 2025 – Present
Cultural Fit Analysis
The candidate's academic projects cover diverse domains (sales, FMCG, meteorology, public health), indicating adaptability and a broad interest in applying data science. Involvement in student associations and a lab assistant role suggests a proactive and collaborative attitude. The range of certifications also shows a commitment to continuous learning and skill development, aligning well with a growth-oriented culture.
Soft Skills & Operational Fit
The candidate's experience as an Algorithm Programming Lab Assistant and involvement in student organizations suggest good communication, teamwork, and problem-solving skills. The Data Entry Intern role indicates attention to detail and operational efficiency. These soft skills are valuable for collaborative data science environments.