Current Employment Status:
Hired Part Time on Nov 21, 2024
I am a data scientist experience in machine learning, web scraping, databases, dashboard, and data analysis. Here are my projects done:
Machine Learning:
- Classification model for credit card fraud using Gradient Boosting Classifier with 89? score.
- Logistic regression model for predicting late payer in real estate monthly amortization
Web Scraping:
- Shopee: Popular online marketplace in the Philippines. I was able to scrape product information in the "Home Entertainment" category.
- Lamudi: Real Estate Website. Scraped real estate information like the areas, location and price.
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- TUMU: I was able to bypass captcha and bot detection as well. I also scraped product data in the website.
- Udemy: Successfully solved the blank webpage when scraping. Scraped online courses information.
Databases:
- Created a workflow from Python webscraper to transferring clean data into MySQL Database.
- Familiarity with the complex data using JOINS.
Dashboard:
- Developed Looker Studio dashboard for the Web Developers' performance in the company using story points.
Data Analysis:
- Investigated real estate market in the Philippines using pandas and matplotlib.
- Analyzed potential market in the Philippines using geopandas for map analysis.
“My Filipino specialist who is absolutely amazing..go get your OFS today!”
Eden Einav
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