Milad Afrasiabi

Experience

1. Manager - Senior Data Scientist

   L'Oréal

   Aug 2023 — Present · New York, NY, US

   Developed insights on gift sets incrementally by leveraging linear regression and counterfactual analysis to understand how variations in sets\' component mix affect consumer interest. These data-driven findings empower LUXE brands to refine their gift set componentry, ensuring each configuration maximizes appeal and aligns with customer preferences- Employing statistical data analytics and Machine Learning techniques to enhance the efficiency of promotions across L\'OREAL Luxe brands such as Lancome and Kiehl\'s. This involves leveraging data-driven insights for optimal promotional strategies- Spearheaded the development of a comprehensive Mixed Marketing Model tailored specifically for Lancome\'s Direct-to-Customer sales channels. The implementation of this model not only resulted in improved sales forecasts but also unveiled a plethora of invaluable insights that shaped marketing strategies- Pioneering the development of web scraping tools using Selenium and BeautifulSoup to systematically extract competitive data for L\'OREAL from diverse retail websites. This initiative aims to gather comprehensive intelligence on competitor activities and market trends, facilitating informed decision-making in the dynamic beauty industry

Education

• Rutgers University

  Doctor of Philosophy (PhD), Biomedical Sciences (Neuroscience)

• New York University

  Master of Science (M.Sc.), Biology/Neuroscience

Skills

• Animal Behavioral Analysis
• Dpss Laser Setup
• Team Leadership
• Western Blotting
• Experimental Design
• Biolab Equipment Troubleshooting
• Cell Culture
• Igor Pro
• Extracellular Field Electrophysiology
• Immunohistochemistry
• Recombinant Dna
• Rodents Colony Maintenance
• Professional Writing
• Science
• Drug Study
• In-Vivo Optogenetics
• Polymerase Chain Reaction (Pcr)
• Statistical Data Analysis
• Slice Optogenetics
• Grantsmanship
• Pclamp
• Single Cell Patch Clamp