Data Analyst with a focus on generating value and providing actionable insights from the cleansing, manipulation, and visualization of data using the following tools: Python, SQL, Excel, Sheets, Power BI, Looker Studio, and Tableau. Confident in communicating findings and creative in discovering solutions to problems. Proactively looking for challenges and continuous improvement in a lifelong learning journey.
- Python (pandas, matplotlib, seaborn, scipy, statsmodels, scikit-learn, BeautifulSoup, Selenium)
- SQL (PostgreSQL, Snowflake, DBeaver)
- Microsoft Excel
- Google Sheets
- Microsoft Power BI
- Tableau
- Looker Studio
Below are listed my projects pertaining to data analysis, data science, business intelligence, web scraping, and other data-related works.
- E-Commerce Shipping Data - a data science solution to mitigate churn rate from late shipping
- House Prices Prediction - a regression model to estimate house prices based on house features
- Telco Customer Churn - a classification model to predict and retain customers with a risk of churning
- AB Testing - Conversion Rate - AB testing on website landing page using Python
- AB Testing - Website Redesign - AB testing website redesign using Python
- Cohort Analysis - Sales - Cohort Analysis on sales data using Excel
- Dashboard - Jakarta Open Data - Jakarta population dashboard using Looker Studio, Python, and Sheets
- Quran Reader with Looker - Quran Reader app using Looker and Sheets
- UFC Dashboard - Power BI dashboard on UFC historical fight statistics and dream matchups using Python BeautifulSoup to scrape data
- Adamchoi - scraping practice on football statistics data using Selenium
- Audible - scraping practice audio books data on Audible using Selenium
- FBref - scraping football match results using Selenium
- MyAnimeList - jikan - scraping anime data from MAL using API
- Subslikescripts - scraping movie titles and subtitles using BeautifulSoup
- vlr.gg - scraping vlr.gg Valorant match statistics website
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