The analytical side
I enjoy uncovering patterns, exploring datasets, and finding answers through statistical thinking.
oh, hello there!
Hi, I'm Widyadari!
I turn data into stories that make sense.
A Statistics graduate from the University of Indonesia, passionate about finding meaningful patterns, building smart solutions, and turning complex data into insights that matter.
01 / get to know me
A little about me
A curious mind, a creative heart, and a soft spot for a really good dataset.
Hi! I'm Widyadari Dhiya Parahita, a Statistics graduate from the University of Indonesia.
I love exploring patterns, asking questions, and finding interesting stories hidden inside datasets.
My experience spans business intelligence, data analytics, machine learning, and workflow automation. I enjoy the entire process, from messy raw data to clear insights, predictive solutions, and visual stories that support better decisions.
The creative side
I love translating complicated analysis into clear, meaningful, and visually engaging stories.
The problem-solving side
I enjoy building practical data solutions, automating repetitive work, and experimenting with machine learning.
02 / my little data universe
Things I've been working on
A collection of projects where curiosity meets statistics, machine learning, and a little creativity.
a few things I'm proud of
Showing 5 projects.
featured projectBest Final ProjectMachine Learning + Marketing Analytics
Customer Personality Analysis & Marketing Campaign Optimization
Getting to know customers through data! A machine learning workflow to identify potential campaign responders and support smarter marketing decisions.
featured projectData Analytics + Business Intelligence
Optimizing Customer Conversion Rates in E-Commerce
Ever wondered what makes online shoppers click “buy”? Exploring browsing behavior, conversion patterns, and opportunities for better e-commerce strategies.
Clustering + Customer Analytics
Airline Customer Segmentation Using K-Means
Discovering different customer personalities in the airline industry through clustering and segmentation analysis.
SQL + Business Intelligence
Kimia Farma Sales & Product Performance
Exploring sales and product performance through SQL analysis to better understand business trends.
Machine Learning + Classification
Titanic Survival Prediction
Exploring a classic data science challenge through preprocessing, exploratory analysis, feature selection, and classification modeling.
03 / my journey so far
A little journey through data & discovery
A few meaningful stops along the way, with plenty more to learn.
- May 2026 – Present
PT Tangga Agency Makmur Bersama
Jr. Business Intelligence / Data Analyst / Data Scientist
- Automating reporting workflows with n8n.
- Analyzing sales, customers, and geographic trends.
- Building interactive dashboards and strategic business recommendations.
- February 2026 – May 2026
PT Shopee International Indonesia
Tax Staff — Data Operations Support (Outsource)
- Supported data validation and operational automation using Python and Pandas.
- Worked with Google Sheets and Apps Script on data quality workflows handling up to 2.1 million records per month.
- August 2023 – December 2023
Bank Indonesia
Data Analyst / Data Scientist Intern
- Explored data and conducted statistical hypothesis testing.
- Worked on data cleaning, feature engineering, predictive modeling, and performance segmentation.
04 / things I work with
My little data toolkit
A colorful collection of tools I use to turn questions into something useful.
Programming & Data
- Python
- SQL
- Pandas
- NumPy
- SciPy
- Statsmodels
- PostgreSQL
- MongoDB
Machine Learning
- Scikit-learn
- TensorFlow
- Classification
- Clustering
- Predictive Modeling
- Feature Engineering
Visualization & BI
- Power BI
- Tableau
- Looker Studio
- Matplotlib
- Excel
- Dashboard Development
Automation & Deployment
- n8n
- Google Apps Script
- Git
- Streamlit
- FastAPI
- Docker
- Google Cloud Platform
05 / learning & growing
Always curious, always learning
Education & learning
University of Indonesia
August 2020 – February 2025Bachelor's Degree in Statistics
Thesis: Performance Analysis of Bi-KNN-MCMC with Metropolis within Gibbs Sampling for Missing Value Imputation in Gene Expression Data.
dibimbing.id
June 2025 – December 2025AI Machine Learning Bootcamp Batch 7
Rakamin Academy
March 2024 – August 2024Data Scientist: Machine Learning Bootcamp Batch 44
Little wins, big smiles.
A few moments worth celebrating along the way.
- Best Final ProjectAI Machine Learning Bootcamp Batch 72025
- FinalistSebelas Maret Statistics Infographics Competition2021
- FinalistDokter Data Infographics Competition2021
a little note from me to you
Let's make something meaningful together!
Have an idea, a question, or just want to connect? I'd love to hear from you!
Send me a little hello!