Aureon
Data · AI · Automation Agency

We build
intelligence
that ships.

End-to-end data science, ML pipelines, and intelligent automation for organizations that measure success in production — not proof of concepts.

aureon_pipeline.py
# Aureon ML Pipeline v2.4
 
from aureon import Pipeline
from aureon.ml import AutoML
 
# Init pipeline
pipe = Pipeline(env="prod")
 
# Connect sources
pipe.ingest([
  "postgres://db:5432",
  "s3://data-lake/raw"
])
 
# Train & deploy
model = AutoML.fit(pipe)
model.deploy(target="api")
 
>>> Accuracy: 94.2%
Machine LearningETL PipelinesLLM IntegrationProcess AutomationBI DashboardsNLP SystemsPredictive ModelingRAG ArchitectureGovernment TechA/B TestingMachine LearningETL PipelinesLLM IntegrationProcess AutomationBI DashboardsNLP SystemsPredictive ModelingRAG ArchitectureGovernment TechA/B Testing
Services
What we build.

Full-stack data and AI — from ingestion to inference to insight.

01
AI & Machine Learning
Predictive models, NLP pipelines, LLM-powered systems, and custom neural networks trained on your data — deployed to production.
Deep LearningNLPLLMRAGForecasting
02
ETL & Data Engineering
Scalable pipelines that clean, transform, and route data reliably — from any source, at any volume.
PythonPySparkAWSPostgreSQL
03
BI & Dashboards
Self-service analytics and real-time dashboards that put the numbers directly in stakeholders' hands.
Power BIStreamlitMetabase
04
Process Automation
Intelligent automation that eliminates manual workflows — document processing, integrations, scheduled ops.
RPAFastAPIn8nDocker
05
Government Digital Systems
Permitting platforms, geospatial analytics, citizen dashboards — built for compliance and long-term scale.
GISOpen DataVPSDocker
06
Marketing Analytics
Attribution modeling, A/B testing, segmentation, and personalization systems that close the loop to revenue.
A/B TestingAttributionSegmentation
45%
avg. efficiency gain
5+
years in production AI
20+
systems deployed
4
sectors served
How we work
Outcome-first delivery.
01
Discovery & data audit
Map your data landscape — sources, quality, gaps — and define success metrics before touching code.
02
Architecture design
Stack selection, pipeline blueprints, and infrastructure planning. Everything documented before we build.
03
Agile build
Short sprints, working software at each milestone, stakeholder reviews built in. No surprises at handover.
04
Deploy & monitor
Production rollout, model monitoring, alerting, and performance dashboards from day one.
05
Sustain & evolve
Retraining pipelines, system maintenance, and roadmap planning as your data grows.
project_lifecycle.yaml YAML
1# Aureon delivery framework
2 
3project:
4  client: "{{ your_org }}"
5  domain: "data + AI"
6 
7phases:
8  - name: discovery
9    status: COMPLETE
10  - name: architecture
11    status: COMPLETE
12  - name: build
13    status: IN_PROGRESS
14    sprint: 3
15  - name: deploy
16    status: PENDING
17 
18metrics:
19  efficiency_gain: 45%
20  manual_effort_cut: 80%
21  model_accuracy: 94.2%
Industries
Where we operate.
01
Government & Public Sector
Permitting systems, spatial data platforms, open data infrastructure, and compliance-grade dashboards.
02
Financial Services
Portfolio analytics, NLP document intelligence, credit scoring, and risk dashboards for banks.
03
Healthcare & Nonprofits
Patient journey analytics, operational reporting automation, and research data pipelines.
04
Marketing & E-commerce
Conversion attribution, CLV modeling, and campaign personalization connecting data to revenue.
Selected work
Shipped. Measured. Real.
Government · Bandung Regency
Building Permit Management System (SIBEDAS)
Replaced manual permitting with an automated digital platform — data pipelines, real-time compliance dashboards, and stakeholder portals on production VPS infrastructure.
45%
Faster delivery
20%
Processing efficiency
100%
Real-time access
Finance · Bank Muamalat Indonesia
NLP Portfolio Optimisation & Segmentation
NLP models for investment portfolio analysis, ML-powered market segmentation, and A/B testing infrastructure to iterate on marketing strategies at scale.
5.3%
Investment returns
80%
Manual effort cut
Marketing · Syncwell UK
Predictive Campaign Optimisation Engine
ML-powered segmentation and automated campaign triggers with personalised journey orchestration driving measurable lifts in engagement and growth.
40%
CTR lift
22%
Follower growth
Healthcare · PCOS Challenge NPO
Patient Attribution & Automated Reporting
Attribution model and automated report extraction pipeline — replacing 80% of manual workload with an interactive dashboard surfacing patient financial insights.
80%
Workload reduced
1
Unified dashboard
Founder
The person behind the work.
NZ
Nauval Zulfikar
Founder & Lead Data Scientist
Education
MSc Business Analytics
Aston University, UK · 2024 · Cum Laude
Also
BBA Innovation & Economics
Ritsumeikan APU, Japan · 2019
in linkedin.com/in/nauval-zulfikar
5+
years in production AI
20+
systems deployed
4
sectors served

I'm a Senior Data Scientist and automation engineer with 5+ years building end-to-end AI systems across government, finance, healthcare, and marketing. I started Aureon to deliver the kind of work I'd always wanted to do — production-grade, outcome-focused, and built to last.

My edge is combining deep technical capability — ML, NLP, LLMs, ETL pipelines — with real domain experience inside organizations. I've sat inside a government department, a bank, and NPOs. I know what actually gets used versus what gets shelved.

Core stack
Python Machine Learning NLP / LLM RAG SQL PySpark FastAPI Docker AWS PostgreSQL Power BI Streamlit Causal Inference A/B Testing Time Series Bayesian Stats
// ready to build?
Tell us the problem.
We'll ship the solution.

No pitch decks. No discovery theater. A direct conversation about what needs to be built and how fast.

Send an email LinkedIn →
Email
zulfikar.nauval1998@gmail.com
Based in
Bandung, Indonesia
Work auth
ID · UK · NL · UAE
LinkedIn
linkedin.com/in/nauval-zulfikar