ROAS: 3.2x
Enterprise-level marketing measurement frameworks using synthetic data and hypothesis-driven methodologies for better attribution.
Turning data into insights and models into impact
Data Science & Analytics Leader at Intuit SMB MediaLabs with 10+ years of experience building data-driven products and leading enterprise marketing optimization. Specialized in analytics tools, personalization, data monetization, and business analytics. Forbes Council member and advisor at Texas A&M, KaggleX, and AI2030.
class DataLeader:
def __init__(self):
self.name = "Sagar Ganapaneni"
self.role = "DS & Analytics Lead"
self.company = "Intuit SMB MediaLabs"
self.expertise = [
"Marketing Analytics",
"Data Monetization",
"Personalization"
]
def transform(self, data):
# 10+ years of impact ✨
return insightsEnterprise-level marketing measurement frameworks using synthetic data and hypothesis-driven methodologies for better attribution.
Strategic frameworks for organizations to build sustainable data monetization capabilities and long-term value creation.
More case studies and projects on marketing optimization, personalization, and data-driven product development coming soon.
Additional case studies on personalization engines, ML at scale, and ad tech solutions will be featured here.
Exploring innovative approaches to marketing measurement using synthetic data generation and hypothesis-driven methodologies for better attribution.
Read on Medium →Strategic framework for organizations to build and scale data monetization capabilities while ensuring long-term sustainability and value creation.
Read on LinkedIn →Stay tuned for more insights on data science, machine learning, analytics, and building data-driven organizations.
Follow on Medium →"Sagar is a highly regarded data and analytics leader known for his technical abilities, public speaking, and dedication to equity. His experience building data products from zero-to-one and driving enterprise optimization makes him a standout in the industry."
Enterprise-level marketing optimization and measurement. Building data-driven strategies for attribution, customer journey analysis, and campaign performance.
Building sustainable data monetization capabilities and strategies. Creating value from data assets while ensuring compliance and long-term growth.
Machine learning solutions for personalization at scale. Building recommendation systems, customer segmentation, and predictive models for business impact.
Intuit SMB MediaLabs
Leading data science and analytics for the foremost B2SMB media network. Building data-powered services and driving enterprise marketing optimization initiatives.
Texas A&M • KaggleX • AI2030
Advising MS Analytics program at Texas A&M, mentoring data scientists through KaggleX Fellowship, and contributing to AI2030 program initiatives.
Ad Tech Solutions
Built data products for ad tech solution providers. Deployed machine learning and analytics solutions for major brands, driving measurable business impact.
Forbes Council • Industry Events
Forbes Council member. Speaker at high-profile analytics and AI events. Active participant in prestigious leadership forums and award panels.
Open to interesting opportunities
I specialize in building sustainable data monetization capabilities, helping organizations create value from their data assets. At Intuit SMB MediaLabs, I lead the foremost B2SMB media network in the industry.
Yes! I regularly speak at high-profile analytics and AI events. As a Forbes Council member, I actively participate in leadership forums and panels on data science and analytics topics.
I advise at Texas A&M's MS Analytics Program, the KaggleX Fellowship, and the AI2030 Program. I'm passionate about mentoring the next generation of data professionals.
Marketing analytics involves using data to understand customer behavior and optimize campaigns. I specialize in enterprise-level marketing optimization, measurement, and building ML solutions for personalization at scale.
I have versatile experience in ad tech, SMB services, and enterprise marketing. I've been part of multiple zero-to-one journeys, building data products from the ground up and deploying ML/analytics solutions for major brands.
The best way to reach me is through LinkedIn or Medium. I'm open to discussing speaking opportunities, advisory roles, collaborations, and interesting challenges in data science and analytics.