Kaveri Dhakar
San Francisco Bay Area,United States
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Kaveri Dhakar is a highly skilled and innovative Data Scientist with 8 years of experience specializing in machine learning, natural language processing (NLP), and predictive analytics. Based in Bengaluru, she has a strong track record of developing and deploying data-driven solutions that solve complex business challenges and enhance user experiences. Kaveri is passionate about leveraging cutting-edge AI technologies to extract actionable insights from large datasets and is adept at communicating technical findings to both technical and non-technical audiences. She is committed to ethical AI practices and continuous learning in the ever-evolving field of data science.
Professional Summary
Kaveri Dhakar's work history includes a series of influential roles in various companies. Here is a detailed list of his professional journey:
Notable Achievements
Lead Data Scientist on Project Alpha
Led a team of 5 data scientists in developing a novel fraud detection system using advanced machine learning algorithms, resulting in a 30% reduction in fraudulent transactions for a key fintech client within the first year of implementation.
Published Research in 'Journal of AI Applications'
Co-authored a peer-reviewed paper on 'Ethical Considerations in Bias Mitigation for NLP Models,' contributing to the academic discourse on responsible AI development. The paper was recognized for its practical approach to a complex issue.
Innovator of the Year Award 2022 (Internal)
Received an internal company award for developing a proprietary algorithm that improved the accuracy of customer sentiment analysis by 22%, leading to more effective marketing strategies.
Speaker at 'DataCon India 2023'
Presented a session on 'The Future of Predictive Maintenance using IoT and AI' to an audience of over 500 industry professionals, sharing insights and practical use cases.
Educational Background
Master of Business Administration (M.B.A.)
Northwestern University - Kellogg School of Management
Bachelor of Engineering (B.E.)
Devi Ahilya Vishwavidyalaya
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Company Overview
StackAdaptStackAdapt is a self-serve programmatic advertising platform used by digital marketers globally. It provides a demand-side platform (DSP) that empowers users to plan, execute, and manage data-driven digital advertising campaigns across various channels including native, display, video, connected TV (CTV), audio, and in-game. The platform leverages machine learning and AI to optimize campaign performance and deliver measurable results, focusing on helping brands accelerate customer acquisition and growth.
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