Kanika Sharma is a distinguished Data Scientist and AI Strategist with over 12 years of experience in leveraging machine learning, predictive analytics, and big data technologies to drive business growth and innovation. She possesses a deep understanding of the entire data lifecycle, from data acquisition and preprocessing to model development, deployment, and continuous improvement. Kanika has a strong track record of leading cross-functional teams to deliver impactful AI solutions across various industries, including e-commerce, finance, and healthcare. She is passionate about demystifying complex data problems and translating technical insights into actionable business strategies. Known for her analytical rigor, strategic thinking, and excellent communication skills, Kanika is adept at bridging the gap between technical teams and executive stakeholders. She is also a keen advocate for ethical AI and data privacy, actively contributing to discussions and best practices in the field.
Kanika Sharma's work history includes a series of influential roles in various companies. Here is a detailed list of his professional journey:
Awarded for leading the development of a novel AI-driven recommendation engine that increased user engagement by 35% and revenue by 18% within six months of deployment.
Invited as a keynote speaker to share insights on 'The Future of Explainable AI in Enterprise Applications', addressing an audience of over 1000 industry professionals and researchers.
Co-authored a significant research paper on 'Scalable Deep Learning Architectures for Real-time Anomaly Detection,' which has been cited over 150 times by peers in the academic community.
Spearheaded a multi-million dollar AI transformation project for a major retail client, resulting in a 20% reduction in operational costs and a significant improvement in supply chain efficiency through predictive forecasting models.
Chandigarh College of Engineering & Technology, Sector-26 - Year 2014
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