Data Analytics
Clean, validate, explore, and communicate data through SQL analysis and decision ready dashboards.
Wawu Tri Ambodo/
Portfolio · 2026
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
About
Turning data into insight, intelligence, and practical solutions.
Data Science graduate with practical experience in data analytics, machine learning, computer vision, and AI system development. Skilled in transforming complex datasets into actionable insights and presenting findings through interactive dashboards. Experience also includes developing deep learning models and practical AI systems for real world applications.
Focused on building reliable, understandable, and useful solutions. The goal is to connect technical innovation with real world needs.
Expertise
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 StudioMatplotlibSeabornSciPyE2BLLM
Experience
From raw data to usable decisions.
Data Scientist Intern
Social Economic Akselerator Lab (SEAL)
- Integrated data from multiple sources through web scraping and performed data quality analysis.
- Developed a Python cleansing library to help users without technical backgrounds standardize raw data.
- Built Looker Studio dashboards and translated findings into actionable workflow inputs.
- Collaborated across functions 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 practical case studies.
- Used NLP and computer vision techniques for text and image classification.
- Delivered and presented a Data Science capstone project under mentor guidance.
- Prepared and transformed datasets through preprocessing and feature engineering to support reliable model development.
Leadership
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 · 01
AI Football Analytics Platform
A 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 recognition of ball actions.
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 · 02
AI Data Analysis Agent
An intelligent workspace that turns CSV and Excel datasets into interactive dashboards and analytical insights. Users review data cleaning recommendations, explore visualizations, and discuss findings with an AI assistant.
Challenge
Make data exploration accessible across varied datasets while keeping data quality decisions transparent and analytical results verifiable.
Contribution
Combined LLM analysis planning, user review of cleaning recommendations, validated dashboard specifications, and Python computation in an isolated environment.
Impact
Enabled data quality review, interactive exploration, and exportable results, with AI assistance in English and Indonesian.
AGENT WORKSPACE● READY
YOUR QUESTIONWhat patterns does the data reveal?
✦
AUTONOMOUS ANALYSISReason. Execute. Verify.
01Review Data→02Analyze & Verify→03Explore & Explain
✦
INSIGHTS GENERATED
✓LLM + PYTHONASK · ANALYZE · REFINE
01Data Quality Review
02Validated Analysis
03Interactive Dashboards
Selected Project · 03
Rice leaf disease classification and segmentation
AI that runs in the browser to identify four rice leaf diseases, with local photo processing, segmentation overlays, and probability heatmaps.
Challenge
Reduce data leakage by grouping visually similar images before splitting the data, and train the classifier using predicted masks.
Contribution
Combined U-Net++ and EfficientNetB0 with features from the full image, features from the disease region, and 18 shape features in one ONNX pipeline.
Impact
Made rice disease analysis accessible in the browser, with visual results and 99.08% accuracy on 869 internal test images.
AI
01Image02Segment03Features04Classify
U-NET++ · ONNX
0199.08% accuracy
02Macro F1 0.9906
03Dice 0.8095
Selected Project · 04
Disaster Image Identification System
A published deep learning study that identifies six disaster conditions from images collected through social media.
Challenge
Classify visually complex disaster scenes whose patterns can overlap across categories.
Contribution
Designed a complete disaster image classification workflow and benchmarked CNN and InceptionResNetV2 using baseline configurations and configurations with fine tuning.
Published result
InceptionResNetV2 with fine tuning achieved the best performance and was applied to scraped image data.
MODEL EVALUATION6 × 6
INFRAFIREHUMANLANDSAFEWATER
0113,555 images
026 classes
0395% accuracy
Selected Project · 05
E-Commerce Sales Analysis
An interactive sales dashboard for exploring retail revenue, orders, cancellations, products, and country performance.
Challenge
Turn raw transactional data into reliable business metrics while accounting for returns, cancellations, and missing customer identifiers.
Contribution
Cleaned and validated transaction data, analyzed sales in SQL, and built an interactive dashboard with period and country filters.
Outcome
Revealed revenue trends and the leading products and markets through a shareable report that users can explore independently.
ONLINE RETAIL / SALES OVERVIEW2010 — 2011
TOTAL SALES£10.64M
VALID ORDERS19,960
MONTHLY SALES TREND
38 MARKETSCOUNTRY · PERIOD FILTERS
01£10.64M sales
0219,960 orders
03£533.17 average order
Achievements
National recognition for innovation driven by data.
Finalist · GEMASTIK XVI
Disaster Identification System
A national competition for university students 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 solutions developed through research for problems found in the real world.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
Contact
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.
Emailwawutri1706@gmail.comLinkedInlinkedin.com/in/wawutriambodoInstagram@haloowawwGitHubgithub.com/UWWAWWU
LocationSidoarjo, East Java, Indonesia