Farnaz Golnam

Retail Data Analyst & Scientist | Personal & Virtual Stylist | Fashion Design & Fit Specialist

Qloxeex-Stanford Student Enterprisesex-Neiman Marcus

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I’m a Retail Data Analyst and Virtual Stylist working at the intersection of fashion, fit, and personalization technology.

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My background combines hands-on fashion design and styling experience with computer science and data analytics, helping fashion and retail businesses turn customer insights into better shopping experiences, product recommendations, and personalization strategies. I have 6+ years of experience styling clients, both virtually and in person, with a strong focus on fit, proportion, and silhouette optimization. I curate complete, well-coordinated outfits, actively incorporate client feedback, and communicate clearly through written stylist notes and digital tools to ensure each client feels confident and understood. Alongside styling, I work as a Retail Data & Analytics Specialist, supporting brands, vendors, wholesalers, and retailers with sales growth, inventory optimization, demand forecasting, return reduction, and personalization initiatives. I use customer transaction data, behavioral insights, sales and order data, predictive modeling, machine learning techniques, and AI tools to improve recommendation logic, marketing performance, supply-demand alignment, and operational efficiency. I’m particularly interested in fashion-tech and data-driven styling platforms, where creative judgment and analytics come together, from curated boxes and virtual styling tools to recommendation systems and product optimization informed by real customer behavior. Open to opportunities in: • Virtual & Online Styling • Fashion-Tech, Retail Analytics & Personalization-focused teams • Data Analyst / Data Scientist roles in retail, e-commerce, or consumer products