A Survey on AI in the beauty industry.

Built upon an existing open-source project to analyze cosmetic product pricing by examining ingredients, brand influence, and customer ratings. Enhanced the project with ingredient scoring, brand analysis, and data visualizations using Python and Sephora data.

SapzBeauty a beauty parlour

Aflux® is a Next.js website connected with beauty industry ➡️ written using modern technologies like Next.js, TypeScript, Tailwind CSS extended with SCSS.

The Data Analytics for Strategic Decision Making - Assignment in my MSc Business Analytics course

Official repository for BeautYoura website – beauty, skincare, and wellness platform.

BeautyScorer: A Permutation-Invariant Beauty Scoring Neural Network

Market feasibility analysis for Glossier’s expansion into Asia using Excel dashboards and go-to-market strategy scoring.

A business website designed using HTML and CSS. I created this website for a lash extension business in a fairly short amount of time. They wanted something simple but functional in a short amount of time. We do have plans to add forms, e commerce, and apis in the near future.

Python and SQL data analysis of cosmetic products, ingredient patterns, and chemical risk indicators built on a relational SQLite database.

This is my capstone project done for my MSDS degree. The top perfume trends for the SS25 season were analyzed using NLP techniques from tiktok comments.

An end-to-end data analytics platform analyzing nano-influencer performance across 40+ markets. Built with Python and Streamlit, it features automated ETL pipelines, sentiment-weighted engagement tracking, and strategic budget-allocation modeling

"Professional nail studio landing page with multi-language support (PL, UA, EN). Built with Next.js & Tailwind CSS.

This is a responsive salon landing page designed to promote a beauty or hair salon by showcasing its services, branding, and overall aesthetic.

Discover trusted beauty tips, skincare guides, and wellness content on BeautYoura, your go-to platform for expert product recommendations and self-care routines.