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Kanika Sharma

Founder, Copywriting Teardowns
Chandigarh, Chandigarh,India
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Kanika Sharma's Overview

Total Experience13 years
CompanyCopywriting Teardowns
CountryIndia

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.

Professional Summary

Kanika Sharma's work history includes a series of influential roles in various companies. Here is a detailed list of his professional journey:

Copywriting Teardowns - Founder (2022 to Present)
Exit Five - Member (2020 to Present)
Brightside Journal - Fractional Growth Marketing Manager (2022 to 2022)
Paragon One - Growth Marketing Manager (2021 to 2022)
Wholesale Helper - Product Marketing Manager (2021 to 2021)
VITALS - Copywriter (2021 to 2021)
GreyB - Senior Digital marketer (2020 to 2021)
IHOP - Brand Specialist - Internship (2017 to 2017)
ChandigarhX - Content Developer - Internship (2017 to 2017)
Virile Genesis - Digital Marketing Specialist - Internship (2016 to 2017)

Notable Achievements

Innovator of the Year Award 2022 - Tech Solutions Inc.

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.

Keynote Speaker at Global AI Summit 2023

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.

Published Research in 'Journal of Machine Learning Research'

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.

Led Successful AI Transformation for a Fortune 500 Client

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.

Educational Background

Bachelor of Engineering - BE, Electrical, Electronic and Communications Engineering Technology/Technician

Chandigarh College of Engineering & Technology, Sector-26 - Year 2014

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Notable news
Hiring actively
Corporate Finance
Corporate Finance
Corporate Finance
Corporate Finance
Corporate Finance

Company Overview

Copywriting Teardowns
Total employees1
HeadquartersAustin
Founded2018

Copywriting Teardowns is a conceptual specialized service focused on meticulously analyzing and deconstructing existing marketing copy from various sources (websites, emails, ads, landing pages) to identify strengths, weaknesses, and areas for improvement. The goal is to provide actionable insights and strategies that businesses and marketers can use to enhance their messaging, improve clarity, boost engagement, and ultimately increase conversion rates. These teardowns often serve as educational content or direct consultancy services, helping clients understand the principles of effective copywriting through practical examples.

Copywriting Teardowns Stock Information
Copywriting Teardowns, Inc. is listed on the null under the ticker symbol null. The company went public on null

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