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About me
Hi, call me Chanin!
A versatile and resilient individual with various engineering background as an in-house contractor specialist in FMCG company. My initiatives, like implementing data-driven cost tracking systems, resulted in substantial savings and enhanced project efficiency.I feel a fun glimmer of delight in uncovering the stories behind the digits, because numbers and facts? They can have a flair for the dramatic, but they will always lead to the truth. Tight deadlines fuel my drive, and I savor my time on the challenge of data visualization and communication—crafting compelling narratives through charts and slides.Explore my curated data analytics projects in this portfolio—they're a testament to my skills and passion. With a relentless curiosity and a commitment to lifelong learning, I'm determined to tackle new challenges and make an immediate impact wherever I go.
What's in my head when I mentioned data analytics...
Data Preparation
The mise en place. Before jumping to analysis and insights generation, I prepare the necessary data which includes collecting, cleaning, and, in some cases, labelling or feature engineering. Understanding the problem is a crucial component in here.
Data Processing
The cooking. I am well-versed in statistical methods with tools such as Spreadsheet, SQL, and Python. Additionally, I have experience in machine learning techniques—creating propensity models and utilizing K-means clustering in some of my projects.
Data Presentation
The plating. I find pleasure in connecting dots through visuals and effective data communication, be it using Tableau, Looker, Power BI or simply just Spreadsheet. Condensing the messages I wish to deliver into concise attributes in only a few slides/charts is my cup of tea.
The Skills That Pay My Bills

Spreadsheet | SQL | Python | Looker Studio | Tableau | Power BI
What I'm Made Of
Politeknik Negeri Jakarta

Bachelor of Applied Engineering - Batch of 2016
Achieved highest English test score in entire batch
SEATVET Student Exchange participant
Outstanding Student (Pilmapres) nominee
Actively engaged in various committees
Revou

Full Stack Data Analytics - Batch of January 2024
Selected twice as advanced presenter for SQL and Python module
Best Performer in Final Project Pitching
Overall module score 100/100
ParagonCorp

Corporate Real Estate Management - Joined 2021
Involved in various improvements and roles (Quantity Surveyor, Project Supervisor, Cost Controller)
Currently developing digital transformation initiatives
An active volunteer in English Club
Featured Projects
Boosting Credit Card Usage: RevoBank Sales Trends & Client Personas
End to end data analytics using Python on Google Colab—cleaning, analysis, visualizations. Analysis using customer segmentation, fraud detection and prediction for future project's revenue.
Keyword : Fintech, Banking, Propensity Model, K-Means Customer Segmentation, Fraud Detection, Machine Learning, Benefit Cost Ratio, Python
EDA on Clients Status
Propensity Model Accuracy Matrix