
Faiq Miftakhul Falakh
@faiqmiftakhulfalakh
I build AI analytics platforms and predictive models from large-scale IoT and business data.
What I'm looking for
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
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.
Data Science Bootcamp Tutor
Digital Skola
Feb 2023 - Dec 2025 (2 years 10 months)
Managed and mentored 300+ remote students across multiple cohorts, covering SQL, Python, visualization, and machine learning from basics to deployment. Guided students in building 6 machine learning projects, including classification, regression, clustering, and deep learning.
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
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
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
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
Availability
Location
Authorized to work in
Salary expectations
Social media
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