Kifansa Naufal Fadhlurrohman
Data Analyst · Turning Raw Data into Strategic Business Decisions
Information Systems student at Telkom University Surabaya with deep expertise in exploratory data analysis, predictive modeling, and executive BI dashboards. Certified by Google in Advanced Data Analytics & AI.
About Me
Passionate about uncovering stories hidden in complex data
I am an Information Systems undergraduate student atTelkom University Surabaya with a dedicated focus on data analytics, statistical modeling, and business intelligence. Maintaining a GPA of 3.86 / 4.00, I balance rigorous academic performance with hands-on technical and leadership roles.
My analytics journey centers on transforming complex numbers into compelling stories that drive decisive business value. I have achieved multiple Google Professional Certifications in Advanced Data Analytics and AI, and gained practical experience guiding students through end-to-end data mining lifecycles as a Teaching Assistant.
I specialize in wrangling unstructured datasets, building predictive analytics, and engineering intuitive Tableau dashboards that empower executive decision-making. Always enthusiastic about solving challenging data problems and bringing measurable impact to data-driven teams.
Technical Toolkit
Skills & Analytics Stack
A specialized toolkit honed for high-volume data analysis, machine learning workflows, and interactive executive reporting.
Data Analysis & ML
BI & Visualization
Programming & Tools
Business & Strategy
Professional Credentials
Certifications & Specializations
Verified professional credentials and specializations in Data Analytics & AI, with additional industry certifications currently in progress.
7 Specialized CoursesGoogle Advanced Data Analytics
Completed: Jun 2026
7 Specialized CoursesGoogle AI Professional Certificate
Completed: May 2026
6 Specialized CoursesGoogle Data Analysis with Python
Completed: May 2026
Featured Work
Data Analytics Case Studies
Real-world business intelligence dashboards demonstrating full analytics lifecycles from data preparation to executive strategic insights.
Indonesia Automotive Sales & EV Adoption Intelligence
1. Business Context & Problem
Indonesia's automotive market is undergoing a rapid transition with the rise of Electric Vehicles (EV). Automotive manufacturers, regional dealerships, and financial partners lacked centralized intelligence to analyze multi-brand sales trends, demographic preferences, and financing behavior.
2. Methodology & Process
Cleaned and transformed 100,000+ transaction records using Python and Excel. Built an interactive 5-page enterprise Tableau dashboard with dynamic filters, KPI parameter switching, and exploratory drill-downs across models, demographics, and credit tenures.
3. Key Data Insights Found
BYD models (Dolphin, M6, Atto 3, Seal) achieved top individual rankings despite lower total brand volume than legacy incumbents — proving strong model-level EV momentum. 75% of purchases depend on credit financing. Customer satisfaction averaged ~3.0 / 5.0 across all brands, revealing major post-sale retention opportunities.
4. Business Impact & Decisions
Formulated 3 executive-ready recommendations: (1) Upgrade dealer service quality metrics to boost CSAT, (2) Deploy customized financing incentives for high-growth EV models, and (3) Rebalance regional inventory to match EV adoption velocity.
Interactive Slide Viewer & Dashboard Breakdown
Explore each page of the multi-page Tableau dashboard with interactive next / previous navigation.
Slide 1: Executive Summary & KPIs
Macro sales performance overview, brand market share, and vehicle category distribution.
Slide 2: Sales & Product Dynamics
Top 10 vehicle models by sales volume, EV vs ICE comparison, and pricing distribution.
Slide 3: Customer Demographics
Buyer age breakdown, gender ratio, geographic concentration, and satisfaction ratings.
Slide 4: Financial & Payment Analysis
Cash vs credit ratio, loan tenure distribution (12 to 60 months), and dealer finance metrics.
Slide 5: Strategic Recommendations
Data-driven business decisions for dealerships, OEMs, and financing institutions.
Career & Education
Experience & Academic Background
Academic background, organizational leadership, and professional experience in technology and data analytics.
Information Systems (Undergraduate)
Telkom University Surabaya
Focus: Data Analytics, Machine Learning & Business Intelligence
Current GPA: 3.86 / 4.00Website 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.