Beauty and Cosmetics Industry

• Contextual information on the subject of analysis
• Exploratory data analysis (EDA)
• ETL
• Data:
  • Collection
  • Parsing
  • Preprocessing
  • Visualization
  • Analysis
  • Engineering
• Technical documentation
• Reporting

• Data analysis: Python, Excel, Google Sheets
• Data visualization: Python, Power BI, Streamlit
• Python: Pandas, Nodriver, Numpy, Matplotlib, Seaborn, Plotly, Re, BeautifulSoup, Selenium, Scrapy, Selectolax
• Data engineering: Python, Databricks, SAS DIS, SAS EG
• File formats: xlsx, csv, json, xml
• SQL: Postgresql, Oracle
• Frontend: HTML, CSS
• Github and Git

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1. la-mer-usa-skincare-infographicsla-mer-usa-skincare-infographicsPublic

   Generating an infographic PDF displaying a reviews age distribution chart and best/least performing products for luxury skincare brand La Mer 📊

   Python 1

2. la-prairie-luxury-skincare-makeup-analysisla-prairie-luxury-skincare-makeup-analysisPublic

   Web scraping La Prairie skincare regional websites for brand and product insights 🛍️

   Jupyter Notebook 1

3. youtube-api-fragrance-channel-analyticsyoutube-api-fragrance-channel-analyticsPublic

   Engagement metrics analysis of perfume Youtube channel using Youtube API 🎀

   Jupyter Notebook

4. retinoids-skincare-analysisretinoids-skincare-analysisPublic

   Using data to learn about retinoids in skincare 🧴

   Jupyter Notebook 3

5. la-mer-skincare-chicago-duty-free-analysisla-mer-skincare-chicago-duty-free-analysisPublic

   Comparing La Mer product selection, availability and pricing from 3 different purchase locations✈️

   Jupyter Notebook

6. shiseido_skincare_usa_fr_infographicsshiseido_skincare_usa_fr_infographicsPublic

   Découvrir les indicateurs de performance liés aux avis d'un sérum très réputé de la marque de beauté luxe japonaise Shiseido. Cette comparaison concerne les sites web USA et FR 💯

   Python