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Nauval Z
@nauvalzulfikar
RAG chatbots and AI agents for teams where a wrong answer is expensive
Japan
German, Indonesian, English, Japanese
About me
I build RAG chatbots and AI agents for companies where a wrong answer is expensive: banks, government, regulated industry.
5+ years in data science. Lead Data Scientist at an OJK-regulated bank (credit-risk NLP, +5.3% portfolio return). Data automation for a government agency (45% faster, 80% less manual work). MSc Business Analytics, Aston University UK, First Class, full scholarship. Two peer-reviewed papers.
Python, LangChain, AWS, Docker, PySpark. Every build ships with an eval set, citations and handover docs, not a demo.
Send 3 sample docs and I'll tell you if RAG is the right answer.
Skills
Nauval Z
Offline •
See my services
AI Chatbot Development
I will build ai chatbot, rag chatbot, langchain chatbot over your documents
AI Integrations
I will build ai agent, ai automation, n8n workflow automation for your reports
Work experience
Data Scientist & Project Manager — Dinas PUTR Kab. Bandung
Bandung • Full-time
Sep 2022 - Present • 4 yrs 1 mo
Automated ETL pipelines and Power BI dashboards that replaced manual data entry across multiple bureaus. Embedded model governance and audit trails into government data workflows, so every number in a report can be traced back to its source. Delivered 45% faster project delivery and a 20% gain in data efficiency. Led cross-functional Agile teams in Jira. Stack: Python, PySpark, AWS, Power BI.
Marketing Data Scientist (Internship)
SyncWell - Know Yourself
Jul 2024 - Sep 2024 • 2 mos
Built predictive ML models for customer engagement and campaign targeting, so marketing spend went to the segments most likely to convert. Designed and ran A/B tests and implemented automated campaign trigger logic. Achieved +40% CTR and +22% follower growth on owned channels. Stack: Python, SQL, Tableau, Salesforce.
Strategic Data Scientist Specialist (Internship)
PCOS Challenge
Jun 2024 - Aug 2024 • 2 mos
Developed a customer attribution model linking donor touchpoints to conversions, so the team could see which channels actually drove giving. Automated the report-extraction pipeline and cut manual workload by 80%. Stack: Python, Streamlit, Power BI, PySpark, Hadoop.
6 Reviews
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Rating Breakdown
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1-5 out of 6 Reviews
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joseantoniog602
Spain
Perfect, good work and communication
$50
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rtraeger
United States
Ongoing collaboration
Great work very fast.
$50
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keneseu
Singapore
exactly what i wanted. fast.
$50
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hozonkai
United States
Very good and on time
$50
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rtraeger
United States
Ongoing collaboration
Outstanding work, exceed my expectations. I will continue to use seller on this and other projects.
$50
Price
Helpful?
