Shreya Nadkarni

Data-Driven Product Analyst | Passionate about Unlocking Insights to Solve Complex Problems | Championing AI and Sustainable Tech

Role
Product Analyst at Apple
Location
San Mateo, CA, US
LinkedIn followers
500 followers
Information TechnologyView LinkedIn profile

About Shreya Nadkarni

Greetings! I\'m a professional problem-solver and a lifelong learner with a serious caffeine habit. By day, you can find me diving deep into data, untangling complex projects, and making sure all the ducks are in a row and that they\'re swimming in the right direction. My background in project management has taught me that the biggest challenges often lead to the most creative solutions. My passion lies at the intersection of creativity, strategy, and data, where I get to combine imaginative thinking with a rigorous, analytical approach.I\'m currently on a quest to explore the ever-evolving world of AI and sustainable technology, because why should we have all the fun without thinking about the future? I believe the best ideas come from collaboration and a willingness to ask \"what if?\" And yes, I\'m the one who gets a little too excited about a perfectly organized spreadsheet.I\'m seeking a role where I can apply my skills in strategic thinking and user-centric design to a team that values curiosity and a good sense of humor.Let\'s build something awesome together!

Experience

  1. Product Analyst

    Apple

    Oct 2024 — Present · San Francisco, CA, US

    Drove a 25% reduction in reporting time by automating and analyzing complex omnichannel sales data using SQL, Snowflake, and AI tools like Vertex AI and Gemini, streamlining data pipelines to directly inform and accelerate product strategies.• Leveraged Prophet (forecasting tool) to accurately forecast future sales trends and demand fluctuations for key products, such as the Apple Watch, resulting in optimized inventory levels and more strategic pricing decisions.• Developed and maintained high-impact, interactive Tableau dashboards to visualize complex sales metrics, customer demographics, and regional performance, enabling data-driven decisions for cross-functional teams (Sales, Marketing, Finance).• Analyzed unstructured customer feedback (reviews, return rates) to identify high-performing product models and optimize product placement and pricing strategies, directly contributing to revenue growth and product profitability

Education

  • DePaul Driehaus College of Business

    Master of Science - MS, Business analytics

  • University of St Andrews

    Master's degree, Marketing/Marketing Management, General

  • The London School of Economics and Political Science (LSE)

    Bachelor's degree, Economics and business managment

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