Responsible AI audit
Responsible AI audit
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Audited a leading pharma company's supply chain data science practice to provide them with a Responsible AI certification.
Audited a leading pharma company's supply chain data science practice to provide them with a Responsible AI certification.
I led a team of SMEs to carry out this data science audit for the client. The client’s team of data scientists were interviewed using an established Responsible AI framework. At the end of the audit the client was given ratings based on how they performed on the different categories in the framework. They were also given recommendations to bridge the gaps identified during the audit. The client published audit ratings and certification on their website.
I led a team of SMEs to carry out this data science audit for the client. The client’s team of data scientists were interviewed using an established Responsible AI framework. At the end of the audit the client was given ratings based on how they performed on the different categories in the framework. They were also given recommendations to bridge the gaps identified during the audit. The client published audit ratings and certification on their website.
Prediction using IoT data
Prediction using IoT data
Built a predictive model using data from IoT sensors for a manufacturing company to identify faulty products prior to the Quality Control stage at the end of the production line.
Built a predictive model using data from IoT sensors for a manufacturing company to identify faulty products prior to the Quality Control stage at the end of the production line.
I led the transformation of an Internet-of-Things (IoT) based solution to predict faulty products on a production line. I analyzed and organized the IoT data and successfully built a predictive statistical model using sensors from 700 IoT devices. I have shared and published these insights in a white paper on LinkedIn:
I led the transformation of an Internet-of-Things (IoT) based solution to predict faulty products on a production line. I analyzed and organized the IoT data and successfully built a predictive statistical model using sensors from 700 IoT devices. I have shared and published these insights in a white paper on LinkedIn:
https://www.linkedin.com/posts/bindu-narayan_a-guide-for-navigating-iot-data-for-predictive-activity-6772416456396222464-8znJ?utm_source=share&utm_medium=member_desktop
Focus Group Analyzer using Generative AI
Focus Group Analyzer using Generative AI
Developed a tool to analyze conversations and generate reports from Focus Group Interviews.
Developed a tool to analyze conversations and generate reports from Focus Group Interviews.
The solution uses Natural Language Processing, Computer Vision and Machine Learning to detect emotions, analyze verbal tones, do sentiment analysis and topic modeling.
The solution uses Natural Language Processing, Computer Vision and Machine Learning to detect emotions, analyze verbal tones, do sentiment analysis and topic modeling.
I conceptualized this tool for retail clients who rely on market research as a lifeline. I led a team who conducted research and built a prototype of this technology. Later, I worked with IBM to integrate their emotion detection algorithm into this solution. A paper based on the solution has been published in Proceedings of Deep Learning (2021)
I conceptualized this tool for retail clients who rely on market research as a lifeline. I led a team who conducted research and built a prototype of this technology. Later, I worked with IBM to integrate their emotion detection algorithm into this solution. A paper based on the solution has been published in Proceedings of Deep Learning (2021)
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