Sita Thomas weaves together 20 years of product analytics, research & statistics, and marketing to create sophisticated, high-impact business intelligence and product solutions. She builds and improves products, strategizes marketing and pricing plans, improves customer experience, makes solid predictions, and maximizes revenue.
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Identifying Provider Fraud for Healthcare Insurers 路 October 2020 路 Article 路 Repository
- Labeled potentially dishonest medical providers, assessed revenue impacts, and proposed fraud policies.
- Achieved high performance with K-nearest Neighbors and Gradient Boosting Decision Tree Classifiers.
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Predicting and Maximizing Home Values for Data Mining Firms 路 September 2020 路 Article 路 Repository
- Created real estate price prediction model from home sales data and identified target buyers for the tool.
- Achieved a low Root Mean Squared Log Error with Linear & Gradient Boosting Decision Tree Regressors.
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HACKATHON WINNER Price-Setting Strategies for Electronics Sellers 路 July 2020 路 Article 路 Repository
- Designed both pricing and marketing approaches to maximize revenue for three product tiers.
- Visualized competitor product data, including pricing strategies, use of sales, and value-added offerings.
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Increasing Support Forum Engagement for SaaS Firms 路 July 2020 路 Article 路 Repository
- Recommended strategies to improve user experience and retention, as well as improve data collection.
- Visualized subscriber behaviors from web-scraped forum data processed with NLTK and TextBlob.