Data Portfolio

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Data Analytics with Python

Digital Bank Service Positional Mapping
Mapping offered service positiong among digital bank brands in Indonesia using NLP, Jaccard Similarity, Binomial Proportion Test, and Principal Component Analysis. The position map is deployed using Heroku server to ease user in interpreting the model result

Presentation for the research project

Employee Turnover Prediction
Predicting employee resignation with Random Forest Classifier, Decision Tree Classifier, Light GBM Classifier, and XGBoost Classifier. Process covered: data exploration, missing value treatment, imbalance treatment, grid search, k-fold validation.

Notebook

E-commerce EDA
E-commerce data are explored to gained insights and provide recommendation. Include clustering models based on customer RFM to group customers based on their Customer Lifetime Value

Students Performance EDA
Students data are explored to gained insights and provide recommendation

Female Daily Review Extraction
Reviews are extracted using Python, specifically using BeautifulSoup package. The extracted reviews are cleaned first using several Python Function and Regular Expression (RegEx), resulting a ready-to-use data for further analysis, like sentiment analysis or topic modelling.

Data Analytics with SQL

Parch & Posey Data Exploration
Parch and Posey is a fictional poster store and required data analyst to provide insight using SQL queries. The data and problem questions are sampled from Github Profile “ptyadana” but I made the all the SQL answers. I used Microsoft SQL server 2019 to write and process the SQL Queries.

Short EDA for Parch and Posey

Data Analytics with Tableau

Olist marketing Dashboard
For monitoring the lead number of Olist E-commerce. Data source: Kaggle

NHTSA Vehicle Recall Dashboard
For monitoring the number of automobile recall. A practice project

West Java Poverty Analysis
This graphics are used to fulfill one the data analysis competition requirements, resulting my team achieving the 2nd runner up place in the competition back in October 2021

Data Analytics with R

Forbes Data Exploration
Data exploration for top companies according to Forbes. Code and explanation are made by my team for Data Science group project.

Auto MPG Data Exploration
Data Exploration for cars, using the default dataset of autoMPG from RStudio. Code and explanation are made by my team for Data Science group project.