Kifansa Naufal Fadhlurrohman
Data Analyst · Bridging Strategic BI & Predictive Data Science
Analytics specialist skilled in exploratory data modeling, predictive machine learning pipelines, and executive BI dashboards. BNSP Certified Data Analyst, 3x Google Certified & Komdigi DTS Graduate, translating messy operational datasets into measurable business growth.
About Me
Engineering Data-Driven Solutions, Predictive Modeling, and Scalable BI.
My analytics approach centers on a clear objective: converting fragmented data and complex operational metrics into decisive business leverage. Rather than relying on assumptions, I focus on diagnosing business bottlenecks and uncovering behavioral trends through disciplined statistical analysis and empirical modeling.
My technical workflow spans the complete data lifecycle—from structuring and querying relational databases using SQL, developing predictive machine learning models in Python, to engineering automated analytical pipelines. To bridge the gap between technical output and executive execution, I design intuitive Looker Studio, Tableau & Power BI dashboards that provide actionable KPI visibility for decision-makers.
Leveraging a strong foundation in enterprise workflows and academic mentoring in data mining, I build analytics solutions engineered to eliminate operational guesswork and deliver measurable business outcomes.
Academic Background
Education
Formal academic background, relevant analytical coursework, and cumulative performance.
Telkom University Surabaya
Bachelor of Information Systems
Faculty of Industrial Engineering · Surabaya, East Java, Indonesia
Focus & Relevant Coursework
Academic Roles & Activities
- Teaching Assistant for Data Mining and Object-Oriented Programming (OOP) lab sessions.
- Contributed to community research on digital transformation and IT literacy for local enterprise initiatives.
Technical Stack
Tools & Stack
A production-grade analytics toolkit engineered for exploratory data mining, predictive modeling, interactive executive reporting, and data-driven business decisions.
Professional Credentials
Certifications & Specializations
Verified professional credentials in Data Analytics, Engineering & AI across national competency standards and global technology authorities.
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Sertifikasi Kompetensi Analis Data (Data Analyst)
Completed: Aug 2026
ID: 04.0594/LSP-DKS/SRTF/VIII/2026
Google Advanced Data Analytics
Completed: Jun 2026
Google AI Professional Certificate
Completed: May 2026
Google Data Analysis with Python
Completed: May 2026
Fundamental of Data Analyst
Completed: Sep 2026
ID: 21212186840-80
Practical Real Business Application for Data Analyst
Completed: Sep 2026
ID: 21212201840-68
Fundamental of Data Engineering
Completed: Sep 2026
ID: 21212187840-72
Practical Real Business Application for Data Engineer
Completed: Sep 2026
ID: 21212189840-66
Associate Data Scientist + Python
Completed: Sep 2026
ID: 21212182840-234
Data Scientist
Completed: Sep 2026
ID: 21212196840-113
Data Scientist Supervisor
Completed: Sep 2026
ID: 21212185840-137
Fundamental of Machine Learning
Completed: Sep 2026
ID: 21212200840-65
Practical Real Business Application using ML
Completed: Sep 2026
ID: 21212205840-60
Portfolio Work
Featured Projects
Enterprise Business Intelligence, Big Data Machine Learning pipelines, and Cloud Data Warehousing engineered for executive decision-making.
Indonesia Automotive Sales & EV Adoption Intelligence System
Enterprise multi-brand automotive sales intelligence system analyzing 100,000+ transaction records to track EV adoption velocity, buyer demographics, credit financing reliance, and regional dealership performance.
Macro-Policy Sentiment & Big Data NLP Pipeline: Non-Subsidized Fuel Hikes
End-to-end Big Data pipeline combining automated API news ingestion, YouTube comment scraping, and NLP sentiment classification to measure real-time economic public anxiety following sudden fuel price hikes in Indonesia.
Enterprise Retail Data Warehouse & Predictive KPI Forecasting Monitor
Cloud-native data warehouse architecture integrating Star Schema modeling, K-Means customer segmentation, and time-series predictive sales forecasting for a multi-branch supermarket enterprise.
Work & Leadership
Experience
Professional work, teaching assistantships, and organizational leadership in technology and data analytics.
Website Content Writer
IS Department, Telkom University Surabaya
- Authored high-engagement analytical articles and departmental press releases for the official web portal.
- Translated complex technical and data concepts into clear, accessible public narratives.
Teaching Assistant — Data Mining
Telkom University Surabaya
- Coached students through end-to-end data mining lifecycles: data preparation, predictive modeling, and model deployment.
- Facilitated practical lab sessions to transform raw datasets into actionable data insights.
Teaching Assistant — Supply Chain Management
Telkom University Surabaya
- Delivered practical instruction on enterprise resource planning and supply chain analytics modules.
- Guided students in mapping logistics operations, manufacturing frameworks, and ERP-driven workflows.
Vice Director of Logistics Marketing Crew
Telkom University Surabaya
- Supervised logistics data for managing high-value institutional assets, inventory control, and campaign tracking.
- Coordinated mobilization of promotional equipment for open house events, roadshows, and digital production.
Teaching Assistant — Object-Oriented Programming
Telkom University Surabaya
- Mentored students through core Java OOP architectures, conducted code reviews, and provided debugging guidance.
Research Assistant — Community Engagement Project
Telkom University Surabaya
- Contributed to MSME digital transformation research, overseeing survey data collection and quantitative analysis.
- Co-authored an academic journal on IT literacy and digital productivity optimization.
Head of Committee — Tech Up Bootcamp
IMSII at BPSDMP Kominfo Surabaya
- Directed end-to-end planning and execution of an intensive offline digital skills bootcamp.
- Coordinated cross-functional committees and managed institutional stakeholder relations.
Let's Connect
Get In Touch
Interested in discussing data analytics opportunities, collaboration, or have a question? Reach out anytime.