Emily Himelrick
Emily is a Boston-based data scientist with a background in engineering, which provides her with a strong foundation in the hard sciences, enhancing her analytical abilities. She excels at uncovering captivating stories within complex datasets, utilizing her multidisciplinary expertise to drive data-informed decisions and fuel business growth. With a strategic and systematic approach, Emily builds predictive models, conducts data-driven research, and optimizes operations, leveraging her engineering background to bring a unique perspective to the world of data analysis.
data scientist | Storyteller
Featured projects
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Customized NLP model
In this project, I leveraged TensorFlow to develop a client-specific sentiment analyzer using natural language processing (NLP) techniques. By training the model on the client's data and fine-tuning it to their specific requirements, I created a highly accurate sentiment analysis tool tailored to their unique needs. I integrated data-driven sentiment analysis into the comprehensive content strategy, ensuring that the client's content resonated with their target audience on social media channels.
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Payout structure analysis
In this project, I designed a comprehensive methodology and implemented a series of statistical tests to investigate customer behavior patterns in relation to various payout structures. By analyzing customer data and conducting rigorous statistical analyses, I aimed to uncover insights into how different payout schemes impact customer engagement and decision-making, ultimately informing optimal payout strategies for the business.
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Sample Dashboard
Leveraging my expertise, I developed a client dashboard that showcases key metrics and performance indicators, enabling clients to leverage my data-driven insights for informed decision-making. By incorporating interactive visualizations and real-time data updates, my skill ensures that clients can effortlessly monitor progress, identify trends, and evaluate the efficacy of their strategies.
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Equitable pricing analysis
In this project, I conducted a thorough evaluation of creator data to provide empirical evidence of the equitable nature of our payout structure across different races and ethnicities. By analyzing and comparing key payout metrics, I aimed to demonstrate that our system is fair, unbiased, and ensures equal opportunities for all creators, regardless of their racial or ethnic background.
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Comprehensive Content Strategy
In this project, I conducted a meticulous statistical analysis of metrics gathered from various social media channels. By examining key performance indicators and identifying trends, I developed a comprehensive content strategy that maximized engagement and delivered optimal results, enabling the client to enhance their online presence effectively.
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Device for the donning of medical gloves
My senior design project involved creating a novel device that assists in the process of donning medical gloves. This innovative solution garnered significant recognition, receiving prestigious awards and earning a patent pending status, highlighting its potential to improve efficiency and hygiene in healthcare settings.