Curriculum Vitae

Satya Bintang Esa Resiadi
Data Scientist and AI Specialist with extensive experience in data acquisition, preprocessing, statistical analysis, visualization, and insight generation. Highly proficient in Python, SQL, and advanced data visualization tools to identify trends, optimize processes, and deliver data-driven solutions. Skilled in statistical modeling, machine learning, and AI deployment, with a strong track record of transforming complex datasets into actionable strategies that support informed decision-making and business growth.
Sedang berjalan
Universitas Sebelas Maret
S1 • Teknologi Informasi • IPK 3.51
Februari 2025 - Juli 2025
DCI-DBT0201 Data Scientist

PT Telekomunikasi Indonesia (Persero) Tbk • Magang
Desember 2024 - Februari 2025
Data Analyst
PT GLobal Data Inspirasi • Magang
Conduct comprehensive data exploration, preprocessing, and visualization tailored to project requirements.
Develop structured documentation and deliver periodic, data-driven reports that clearly communicate analytical processes, key findings, and actionable recommendations to stakeholders.
Desember 2024 - Januari 2025
Data Analyst
Kudata • Magang
Assist in collecting and organizing data to uncover insights into user behavior.
Support the product and design teams by providing data-driven inputs that guide decision-making.
Contribute to tracking product metrics and preparing baseline reports.
Clearly communicate data insights to the team in an understandable and actionable manner.
Januari 2024
Preparing Data for Analysis with Microsoft Excel
Microsoft • 2CZYOYMHH2DW
In this certification program, I developed proficiency in preparing data for analysis using a wide range of Microsoft Excel features. The training covered essential techniques such as data cleaning, organizing data into structured tables, applying formulas and functions to manage unstructured datasets, and implementing formatting and transformation methods to ensure data readiness for advanced analysis. This certification enhanced my ability to efficiently manage, manipulate, and prepare data using Excel—an essential skill set for delivering accurate and insightful data analysis.
Media
Januari 2024
Spesialisasi Google Data Analytics
Google • 5AF8M2DINRUT
Having completed the Google Data Analytics Specialization, I consider this program a highly practical training experience that enhanced my expertise in data analysis through a project-based approach. The curriculum covered the full data analysis lifecycle—data collection, cleaning, analysis, and visualization—utilizing tools such as spreadsheets, SQL, Tableau, and R, all of which are highly relevant to statistical work. Furthermore, I gained the ability to translate complex data insights into clear, evidence-based reports that support informed decision-making, providing a strong foundation for a successful career as a data analyst.
Media
Januari 2025
3rd Place of Scientific Performance And Research Knowledge ( SPARK ) Datathon Telkomsel 2025
Institut Teknologi Bandung • 7199/HME-ITB/KRE/EXT/II/2025
Developed NutriGO, an innovative AI-powered solution designed to analyze nutritional information and classify fast food. The development of NutriGO involved several key techniques:
NutriGO is an AI-powered solution for analyzing nutritional information and classifying fast food.
Object Detection (YOLOv8) – Trained on 1,113 augmented data points (11 categories), achieving 70.4% mAP and optimal F1-score using Vertex AI.
Zero-Shot with Gemini 1.5 Pro – Performed input categorization, OCR from packaging, and generated nutritional insights.
RAG Chatbot – Delivered precise, context-aware nutritional information from relevant databases.
Real-Time Dashboard – Integrated with Bliv for live visualization of food classification and nutritional insights.
NutriGO combines AI detection, LLM-powered analysis, and real-time dashboards to deliver accurate, interactive nutrition insights.
Media
Januari 2025
2nd Place of Data Mining in Information System Competition ( DISCO )
Universitas Trunojoyo Madura • B/4899/UN/46.3.4/KN.05.03/2025
BizUMKM – Intelligent Machine Learning System for MSME Business Health Analysis & Decision Optimization
Developed BizUMKM, an AI-powered solution designed to assess MSME financial health, optimize decision-making, and provide actionable business insights.
Classification: Evaluates MSME eligibility and financial health, detects potential business risks for early intervention.
Recommendation System: Suggests similar businesses for benchmarking, delivers strategic insights to support business planning.
Clustering: Groups MSMEs based on financial indicators and analyzes cluster profiles to identify potential markets.
This project leverages advanced machine learning techniques to empower MSMEs with data-driven strategies for sustainable growth.
Media
Januari 2024
3rd place Winner in the Tadulako Data Challenge ( TDC ) Infographic Competition 2024
Universitas Tadulako • 6944/UN28.7/TU.00.01/2024
I achieved 3rd place in the Tadulako Data Challenge (TDC) Infographic Competition 2024 with my work titled "AI: The Digital Transformation of Indonesia's Future."
In this project, I highlighted the role of Artificial Intelligence (AI) as a key driver of Indonesia’s digital transformation, including its impact across various sectors such as education, healthcare, and the economy. The infographic combined relevant data with engaging visualizations to effectively and informatively convey the message.
Media

Januari 2024
4th Best Design Infographic Neon Ercom Bengkulu University 2024
Universitas Bengkulu • 192/UN30.13.KM23/2024
I was awarded 4th Best Design Infographic at the Neon Ercom Bengkulu University 2024 for my work titled "Smart Farming Innovation with Blue River Technology."
The infographic showcased the application of Blue River technology in supporting smart farming, focusing on resource optimization, process automation, and the adoption of sustainable agricultural practices. Clear information delivery combined with engaging visuals was the key strength in presenting this innovative idea
Media
