[ DATA ANALYST PORTFOLIO ]
Turning data into insights people can act on.
I’m Fatkhul Barri, a Mathematics student at Institut Teknologi Sepuluh Nopember (ITS) with a strong interest in data science, supported by proficiency in SQL and Python. I work with data to identify patterns, answer meaningful questions, and communicate insights clearly.
Available for internships, entry-level roles, freelance analysis, and collaboration.
Scroll to explore.
[ PROFILE ]
A curious analyst who turns questions into evidence.
I am currently pursuing a Bachelor of Mathematics at Institut Teknologi Sepuluh Nopember (ITS). Through organizational experience in event management, I work in a structured, results-oriented manner.
[ WHAT I DO ]
From messy datasets to meaningful decisions.
My workflow combines careful data preparation, structured analysis, and clear communication.
[ HOW I WORK ]
A structured process for turning raw data into useful insight.
[ EDUCATION ]
Building analytical foundations through learning and practice.
2024 – Present
Institut Teknologi Sepuluh Nopember (ITS)
Bachelor of Mathematics
Education & certificates →[ EXPERIENCE ]
Organizational and creative experience.
[ TOOLKIT ]
Tools I use to move from data to decisions.
| Programming & Data | SQL, Python, Java |
| Office & Spreadsheets | Microsoft Office (Excel, Word, PowerPoint), Google Workspace (Sheets, Docs) |
| Design | Figma, Canva |
[ ABOUT ME ]
Learning through data, projects, and persistent curiosity.
Beyond dashboards and datasets, I enjoy [YOUR INTERESTS]. I believe good analysis is not only about finding numbers; it is about asking better questions and making the answer understandable.
Read my story →Let’s find the story in your data.
I am open to internships, entry-level data roles, freelance analysis, portfolio collaborations, and conversations about data.
[ ABOUT ]
I’m Fatkhul Barri, a data analyst in progress.
I am a Mathematics student at ITS, interested in how data can reveal patterns, improve decisions, and tell clearer stories.
Story
My interest in data began when [YOUR STORY: tulis cerita singkat kenapa Anda tertarik pada data]. I became interested in the process of turning information into insight, especially when the answer can support a real decision.
Studies: Bachelor of Mathematics, ITS (2024 – present). Current focus: data science fundamentals, SQL, and Python. Career goals: [YOUR CAREER GOAL].
Experience
Values
- Questions before assumptions
- Clarity before complexity
- Evidence before opinion
- Learning through practice
- Insight only matters when it can be understood
Skills and workflow
- SQL
- Python
- Java
- Excel & Google Sheets
- Figma & Canva
- Creative media
- Event coordination
- Master of Ceremony
Tools can change. Analytical thinking, data integrity, and communication stay central.
Beyond data
- [YOUR INTEREST 1]
- [YOUR INTEREST 2]
- [YOUR INTEREST 3]
[ PROJECT ARCHIVE ]
Analysis, dashboards, experiments, and data stories.
A collection of academic, personal, freelance, and collaborative projects. Each case study explains the question, data, method, tools, findings, and lessons learned.
[ CASE STUDY TEMPLATE ]
[Project Title]
Category: [Category] · Year: [Year] · Type: Academic / Personal / Freelance / Collaborative · Role: [Role] · Duration: [Duration]
Tools: [Tools] · Data source: [Source] · Links: [GitHub] [Tableau Public] [Power BI] [Kaggle] [Live dashboard]
The question
Context: [Why this project exists]. Stakeholders or target users: [Who it is for]. Key question: [The one question]. Scope: [What is in and out].
The data
Source: [Source]. Size: [Rows × columns]. Period: [Time period]. Main variables: [Columns]. Limitations: [Limits]. Privacy and ethics: [Considerations]. Use only real, verifiable details.
Cleaning and preparation
- Missing data handling
- Duplicate removal
- Data type correction
- Outlier review
- Data merging
- Feature engineering
Analysis approach
Explain the approach in plain language first: [exploration, segmentation, tests, or models].
Technical details
[SQL queries, code, statistical tests, notebook extracts]
What the data revealed
Keep these four apart: data observation, analytical insight, recommendation, and verified real-world outcome. Do not invent impact or numbers.
Suggested next actions
[Recommendations supported by the analysis. Label them as recommendations, not outcomes.]
Deliverables
What I learned
Technical: [ ]. Analytical: [ ]. Communication: [ ]. Next time I would: [ ].
[ EDUCATION & CERTIFICATIONS ]
Academic foundations and continuous learning.
My learning journey combines formal education, online courses, hands-on projects, and independent exploration.
2024 – Present
Institut Teknologi Sepuluh Nopember (ITS)
Bachelor of Mathematics
Certification archive
Only list certificates you have earned.
Currently learning
- [YOUR CURRENT LEARNING 1]
- [YOUR CURRENT LEARNING 2]
- [YOUR CURRENT LEARNING 3]