DOCUVESTA
Your go-to analytics partner:
Extracting, cleaning and transforming data so you don’t have to
About Me
My name is Michele and I’m a data enthusiast!
This means that I enjoy using data to answer all sort of questions. I dedicate the majority of my day to analytical work, as my profession involves data collection, preprocessing, parsing and analysis. Additionally, I am passionate about conducting data-related research on the beauty and personal care industry.
My goal is to convert raw data into a clear and easily digestible format. This includes using data to make informed decisions, presenting essential information through visual and written formats, or providing deeper insights into event analysis.
Credentials
BEng Industrial Engineering
Concordia University
Montreal, Canada
BSc Biochemistry
Concordia University
Montreal, Canada
Education
Industries
Banking
Cybersecurity
Pharmaceuticals
Skincare
Cosmetics
Retail
DV
Recent Work
For a more comprehensive overview of each project, including raw data and
development code, please visit my public Github or feel free to contact me.
Fragrance Youtube Channel
Engagement Metrics Analysis
This project uses the Youtube API to gather data and uses Python to analyze engagement metrics including views, likes, and comments count of a fragrance YouTube channel. Through examining these data points, I was able to determine key insights that could be used to develop future content strategies. This is particularly valuable for brands seeking to partner with influencers, as it helps determine the type of videos that resonate best with the channel's audience as well as assess whether the influencer is a good fit for the brand.
Automating this process ensures consistent and concise reports can be quickly produced and shared. The process can be fully tailored to your business needs. This includes the selection of information displayed, the presentation format, and the frequency at which the report can be generated. Infographics are commonly used to keep stakeholders informed of recent changes, update teams on key insights, and guide decision-making processes.
Shiseido Skincare Automated Infographic PDF
Using Python to create an automated infographic PDF, this project compares key metrics for one of Shiseido’s top-performing skincare products across the USA and France websites. This approach helps in understanding variations in product sentiment across different regional markets.
Note: this project is written in French
Retinoid Content in Skincare
Analysis
Retinyl Esters
Retinol
Retinal
Retinoic Acid
This analysis, presented as a detailed report, explores retinoid content in skincare products. Together with the analytics portion of the project, I include extensive background information on retinoids, identify potential market gaps, and explore various retinoid ingredients that could be valuable for brands looking to develop new retinoid-based skincare products.
La Prairie Switzerland
Products and Regional Websites
Analysis
This analysis uses web scraping to compare product selection and price differences between three regional La Prairie websites: USA, Great Britain and Hong Kong. The goal was to identify product and website variations in each regional market.
La Mer Skincare
Chicago O’Hare Duty-Free
Product Selection and Price Analysis
How much do we really save by shopping duty free at the airport? By combining web scraping and in-person data collection, I conducted an analysis of the price differences for La Mer skincare products at the Chicago O’Hare duty-free store, the duty-free website, and the official La Mer USA website.
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