RADEN / HADI SURYO

Contact me for mentoring & consulting

I build the bridge between data and decisions.

Raden Muhammad Hadi Suryo Suharto is a senior data scientist, AI consultant, mathematician, and educator. I move between rigorous models, useful systems, and the people who need to understand them.

Talk about a problem Trace the work
Based in Bandung, West Java MATH / DATA / AI / LEARNING
RADEN / SIGNAL BRIDGE LIVE MAP
Three channels connecting to one decision output A mathematical signal, a systems signal, and a learning signal travel across an instrument panel and converge on a bright chartreuse output node. MATHEMATICS SYSTEMS LEARNING USEFUL DECISIONS
Three disciplines One working language
MAP / 001

A career built across the gap.

Some people pick one lane. Hadi has spent the last decade making the handoff between disciplines work.

A lifelong learner, R evangelist, explainable AI practitioner, and career slasher.

From production fraud detection and credit scoring to shrimp growth models, AI agents, and the classroom, the through-line is simple: make complex systems more legible and more useful.

Browse the working notebooks
MATHEMATICSstructure / theory / models01
DATA + AIsystems / products / insight02
EDUCATIONmentoring / translation / agency03
clearer decisionsOUT
Working language English / Indonesian R / Python / NLP Explainable AI

Work in parallel, not in a line.

Selected roles from a portfolio career spanning fintech, aquatech, consulting, product, and teaching.

2025 / NOW

DANA Indonesia

Senior Staff Data Scientist

Fraud detection, risk management, personalization, marketing optimization, and robust data pipelines for a fintech environment.
active
2013 / NOW

StatsMaster

Founder & Data Science Consultant

AI and data-related work for academia, professionals, and corporates: consulting, product development, training, and data talent.
active
ONGOING

Mentoring practice

Narasio Data / ADPList / Dealls

Teaching machine learning, recommender systems, forecasting, NLP, data product deployment, and career growth in data roles. Narasio Data: 2022-present. Dealls: 2024-present. ADPList: 2025-present.
active
2022 / 2025

DELOS

Principal Data Scientist / Data Science Lead

Aquatech systems for shrimp growth, feeding programs, survival and mortality models, and data strategy for science teams.
archive
2020 / 2022

Bukalapak

Data Scientist, Growth & Financial Services

Customer behavior, interpretable machine learning, causal models, mutual funds recommendation, and insurance analysis.
archive
Earlier: Quantus Telematika / Tabel Data Informatika / Bimbingan Belajar / PT. PindadAsk for the full signal history

Selected systems from the notebook.

Not a catalogue. A few examples of how the bridge behaves when it meets a real problem.

FIELD NOTE / 01

QualBot

Quality control bot and advanced analytics using an AI agent and machine learning.

AI agentMLquality
FIELD NOTE / 02

LexA / REGINA

RAG and regulatory intelligence systems that help expert teams navigate language-heavy work.

RAGNLPAI workflow
FIELD NOTE / 03

Growth & causal analysis

Marketplace behavior, voucher dependence, game analytics, and models that ask what actually drives growth.

causal MLsegmentationgrowth
FIELD NOTE / 04

From shrimp growth to decision architecture.

At DELOS, mathematical and statistical models met farm operations: feeding programs, growth prediction, phytoplankton detection, and survival models became a connected operating system.

Talk through a system

Bring a question. Choose a channel.

StatsMaster exists to help academia, professionals, and corporates apply data science to the problems in front of them.

CHANNEL / CONSULTING

Turn a hard question into a useful next step.

Data science consulting for academia and corporates, from business understanding and analysis through interpretable models and decisions your team can act on.

Start with an email

Good fit for

  • Messy problem definition
  • Model interpretation
  • Analytics architecture
  • Data strategy and talent

The signal has roots.

Mathematics first. Practice next. A habit of making the difficult understandable throughout.

EDUCATION

Universitas Pendidikan Indonesia

Bachelor of Mathematics
2011 / 2015

RECOGNITION

Mathematical logic, internationally recognized.

Gold and bronze medals at the International Mathematical Logic Olympic in Ljubljana, plus first and second place in a West Java, Jakarta, and Banten mathematics scientific paper competition.

PUBLICATIONS

Two ways of making complexity legible.

Research on the Caesar machine and number enumeration, alongside work on task logging and quality monitoring through voice and AI-based systems.

DifyDatabasesStatistical Data AnalysisDeep RL with GymNLP with NLTKR / Python

Let’s make the signal useful.

Have a data problem, an AI system to shape, or a team that needs a clearer way in? Send the context. Hadi will meet you where the question is.

hadimaster65555@gmail.com
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