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Faiq Miftakhul FalakhFF
Looking for a job

Faiq Miftakhul Falakh

@faiqmiftakhulfalakh

I build AI analytics platforms and predictive models from large-scale IoT and business data.

Indonesia
Message

What I'm looking for

I'm looking to apply machine learning, NLP, generative AI, and advanced analytics to turn large-scale data into actionable decisions and production-ready products.

At AssetFindr, I build AI-powered analytics and inspection systems that let business users query multi-terabyte IoT and operational data in natural language, cutting time-to-insight from hours to seconds. I also develop predictive models for anomaly detection and asset-performance forecasting while securing multi-tenant data access.

Previously, I analyzed 10M+ row datasets for Telkom GovTech Procurement and built 15+ visualizations for product and business decisions. With a PhD in Computer Science and experience teaching 300+ data science students, I bring Python, SQL, BigQuery, machine learning, NLP, and generative AI from research into production.

Experience

Work history, roles, and key accomplishments

AS
Current

Data Scientist

AssetFindr

Jan 2025 - Present (1 year 8 months)

Built and deployed an AI-powered analytics platform enabling natural language queries on multi-terabyte IoT datasets, reducing time-to-insight from hours to seconds. Developed a multimodal AI inspection system for asset damage classification and optimized BigQuery workloads achieving 80% cost reduction.

TP

Data Scientist

Telkom GovTech Procurement

Feb 2023 - Dec 2024 (1 year 10 months)

Analyzed large-scale datasets using Python and advanced SQL in BigQuery, designed and maintained 15+ interactive data visualizations in Metabase and Looker Studio, and implemented data governance best practices. Provided data insights to support cross-functional teams, delivering 10+ ad-hoc datasets and analyses per month.

Education

Degrees, certifications, and relevant coursework

Technische Universität Dresden logoTD

Technische Universität Dresden

Ph.D., Computer Science

2017 - 2022

Grade: Magna Cumlaude

Activities and societies: Best Student Paper Awards at RuleML+RR Conference, Berlin 2022

Ph.D. in Computer Science with a grade of Magna Cum Laude. Achieved Best Student Paper Award at RuleML+RR Conference, Berlin 2022.

Universitas Indonesia logoUI

Universitas Indonesia

M.Sc., Computer Science

2013 - 2014

Grade: 3.81

Activities and societies: 3rd Winner of Open Data Scrapathon Jakarta, Indonesia

M.Sc. in Computer Science with a CGPA of 3.81. Achieved 3rd Winner of Open Data Scrapathon Jakarta, Indonesia.

Universitas Indonesia logoUI

Universitas Indonesia

B.Sc., Computer Science

2009 - 2013

Grade: 3.59

Activities and societies: Finalist at The Most Outstanding Students Competition at Faculty Level

B.Sc. in Computer Science with a CGPA of 3.59. Finalist at The Most Outstanding Students Competition at Faculty Level.

Tech stack

Software and tools used professionally

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