Data Analytics
Clean, validate, explore, and communicate data through SQL analysis and decision-ready dashboards.
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Portfolio · 202601 / 10
DATA · INSIGHT · INTELLIGENCE
Wawu Tri Ambodo
Data Analyst · Data Scientist · AI/ML Engineer
Transforming complex data into actionable insights and building intelligent systems for real-world impact.
Data AnalyticsData ScienceAI/ML Engineering
Sidoarjo, East Java, Indonesia
About02 / 10
Turning data into insight, intelligence, and practical solutions.
Data Science graduate with hands-on experience across data analytics, machine learning, computer vision, and AI system development. Skilled in transforming complex datasets into actionable insights and presenting findings through interactive dashboards. This experience also includes developing deep learning models and practical AI systems for real-world applications.
Focused on building solutions that are reliable, understandable, and useful. The goal is to connect technical innovation with real-world needs.
Expertise03 / 10
One foundation, three ways to create value.
Data Science
Design experiments, compare models, and evaluate performance with reproducible machine learning workflows.
AI/ML Engineering
Integrate deep learning, computer vision, and deployment into complete systems that people can use.
Core toolkit
PythonSQLPandasNumPyScikit-learnPyTorchTensorFlowKerasOpenCVPower BILooker StudioMatplotlibSeabornGitSciPyHugging Face
Experience04 / 10
From raw data to usable decisions.
Data Scientist Intern
Social Economic Akselerator Lab (SEAL)
- Integrated multi-source data through web scraping and performed data-quality analysis.
- Developed a Python cleansing library to help non-technical users standardize raw data.
- Built Looker Studio dashboards and translated findings into actionable workflow inputs.
- Collaborated with cross-functional teams to align analytical outputs with reporting and operational needs.
Data Science Independent Study
PT Bisa Artifisial Indonesia (BISA AI)
- Applied supervised and unsupervised learning across project-based case studies.
- Used NLP and computer vision techniques for text and image classification.
- Delivered and presented a mentor-guided Data Science capstone project.
- Prepared and transformed datasets through preprocessing and feature engineering to support reliable model development.
Leadership05 / 10
Building systems also means building people.
Leadership principleCreate clear systems, help people grow, and make every contribution easier to continue.
Head of Human Resource Development
Himpunan Mahasiswa Sains Data (HIMASADA)
Designed staff development, student orientation, and leadership programs to strengthen organizational capability and student confidence.
General Affairs Staff
Badan Eksekutif Mahasiswa (BEM)
Managed organizational data and inventory while establishing partnerships and securing external sponsorships.
Selected Project · 0106 / 10
AI Football Analytics Platform
An end-to-end football intelligence pipeline that turns broadcast footage into structured match and player information.
Challenge
Connect player identity, spatial context, and match events across dynamic broadcast video.
Contribution
Integrated player and ball tracking, team and jersey recognition, field mapping, action spotting, and ball-action recognition.
Impact
Established the foundation for automated statistics across 16 player-performance indicators.
1234567891011
FRAME 0313TRACKING · ACTION · FIELD
0125 FPS workflow
023 integrated AI modules
0316 player performance indicators
Selected Project · 0207 / 10
Rice Leaf Disease Identification & Segmentation
An accessible AI system that identifies rice diseases and highlights affected areas on the leaf.
Challenge
Build a reliable workflow while reducing duplicate-driven leakage across visually similar images.
Contribution
Compared three transfer-learning architectures and integrated U-Net++ segmentation, calibration, Grad-CAM++, and Canny Edge visualization.
Impact
Deployed an interactive diagnostic experience that makes model outputs understandable without technical expertise.
AI
01Image02Classify03Segment04Explain
U-NET++ MASK
014,752 images
024 disease classes
033 architectures
Selected Project · 0308 / 10
Disaster Image Identification System
A published deep-learning study for identifying six disaster-related conditions from social-media imagery.
Challenge
Classify visually complex disaster scenes whose patterns can overlap across categories.
Contribution
Designed an end-to-end disaster image classification workflow and benchmarked CNN and InceptionResNetV2 across baseline and fine-tuned configurations.
Published result
Fine-tuned InceptionResNetV2 achieved the best performance and was applied to scraped image data.
MODEL EVALUATION6 × 6
INFRAFIREHUMANLANDSAFEWATER
0113,555 images
026 classes
0395% accuracy
Achievements09 / 10
National recognition for data-driven innovation.
Finalist · GEMASTIK XVI
Disaster Identification System
A national university-level competition in technology and digital innovation with a competitive multistage selection process.Kementerian Pendidikan, Kebudayaan, Riset, dan TeknologiView certificate
3rd Place · KATALIS Vol. 1
Fish Disease Detection System
A national student scientific and innovation competition focused on research-based solutions to real-world problems.UKM Sanggar Sains, Universitas Perjuangan TasikmalayaView certificate
Silver Medalist · OUFEST XI (LOKASI)
Malaria Detection System
A national student competition that provides a platform for presenting innovative ideas and solutions across diverse fields.PT Olimp Update GroupView certificate
Contact10 / 10
OPEN TO MEANINGFUL WORK
Let’s turn data into something useful.
I am open to opportunities where data analysis, machine learning, and applied AI can create measurable value.
Email mewawutri1706@gmail.comLinkedInWawu Tri AmbodoGitHubgithub.com/UWWAWWU
LocationSidoarjo, East Java, Indonesia