GROW YOUR BUSINESS WITH DATA
Getting real business value from your data can be challenging. Whether you're just starting out or have a full data team, I will help you develop a clear strategy that transforms data from a supporting function into a key business driver.
Companies I Have Worked With
Services
I specialize in building foundational data tech stacks that serve as the backbone for your business. Once the right infrastructure is in place, we can craft tailored strategies to power advanced analytics, AI, data governance, and more. From data quality and incident management to engineering and product management, I offer end-to-end solutions that turn your data into a true business driver.
Data Discussion
Not sure how data can help and the role it plays in your business. In this 1hr session, we discuss data fundamentals ranging from Analytics to AI and discuss how it can apply to your space.
Free!
Data Environment Strategy
I help design or revamp modern data tech stacks that serve as the foundation for advanced analytics, AI, and data science. A well-built stack ensures seamless data flow, making your business ready for smarter insights and innovation.
Data Products Strategy
Once your data stack is established, we focus on creating impactful data products. From predictive analytics and AI-driven solutions to custom tools like recommendation engines, I’ll help transform your data into powerful products that drive meaningful business outcomes.
Technical Work
Providing comprehensive technical solutions. Ranging from advanced analytics, business intelligence, data quality, a/b testing, data warehouse design, data integration, and more.
Not Sure Who to Hire for Your Data Needs?
Data Strategy Consultant
Best For
Startups unsure of where or how to integrate data into their business
Companies that have an existing data team and strategy, but it is not driving business results
Companies that are pursuing org changes and not sure how to best structure their data teams.
Collaboration and integration with internal team
Cost effective, flexible project/retainer-based needs
Considerations
For larger projects, additional internal and/or external resources maybe required
Full Time Data Hire
Best For
Companies that have a clear data strategy and just need someone to execute
Require a dedicated, long-term data resource
Ongoing team mentorship and leadership
Considerations
You might hire the wrong role (data analyst, data scientist, data engineer, etc.) and/or the wrong seniority (IC vs Lead/Manager)
Finding someone with both technical and strategic expertise can be challenging
High cost due to salaries, benefits, etc.
Data Agency
Best For
Startups needing large-scale, full-service support for specific projects
Companies that prefer an outsourced, “hands-off” approach with a team managing the work
Considerations
Expensive with less flexibility in terms of personal attention and customization
You may not always get the same people working on your project throughout, leading to inconsistent outcome
Less focus on understanding your unique business needs, prioritizing their processes over your long-term data strategy
Here to support you in every step of your data journey.
With nearly a decade of in-house experience as a data executive, I've worked across fintech, streaming, IoT, and more, navigating challenges in analytics, data science, engineering, and strategy. Throughout my career, I’ve noticed a recurring struggle: companies often treat data as a supporting function rather than a driver of business growth. This leads to inefficiencies, with analysts focusing on narrow tasks instead of solving core business problems.
That’s why I started my consulting practice—to help companies make the most of their data. I’m here to set you up with the right strategy, build strong data foundations, and give your team the guidance they need to thrive. Whether you’re just starting out or looking to elevate your existing setup, we’ll work together to unlock the full potential of your data and turn it into a real business asset.
Case Studies
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As the first data leader, I established a data team from the ground up and developed a comprehensive strategy encompassing reporting, advanced analytics, forecasting, and governance. By designing and deploying the company’s first Data Tech Stack, we increased analytics efficiency by 150%, creating a solid foundation for a data-driven culture and empowering the organization to make more informed, strategic decisions
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After a major acquisition in the streaming industry, we faced the challenge of merging two large data teams—one centralized and the other embedded within business units—spanning over 1,500 data professionals. This structural difference created redundancies and inefficiencies that hindered decision-making.
To address this, we conducted a thorough audit through stakeholder interviews and identified best practices. Our recommendation to adopt a centralized model was approved by the CDO, resulting in a unified, efficient data team. This integration improved operational efficiency, enhanced analytics capabilities, and positioned the organization for long-term competitive success.
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A major retailer faced challenges with product spoilage and inventory shrinkage due to limited visibility across their supply chain. Traditional monitoring methods were slow and prone to errors, making it difficult to track issues like temperature fluctuations and transit delays for time-sensitive products.
To address these challenges, the retailer implemented a real-time monitoring system that tracked goods from the distribution center to store shelves. Advanced analytics revealed inefficiencies, including inconsistent temperatures and handling delays. By addressing these gaps, the retailer reduced spoilage, improved product freshness, and enhanced overall efficiency, leading to better customer satisfaction and reduced waste.
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An online retailer faced significant challenges in ensuring accurate and timely package delivery, resulting in a loss of customer trust and operational inefficiencies. Issues such as misloading, lost items, theft, and damage were prevalent, significantly impacting overall performance and costs.
To tackle these challenges, I helped lead the implementation of real-time machine learning modeld to monitor package movements from order to delivery. This solution reduced manual errors and provided proactive alerts to resolve issues. As a result, the retailer experienced a substantial decrease in lost, damaged, and delayed shipments, leading to increased operational efficiency and improved customer satisfaction.
Book an appointment.
Let’s chat about your data goals and challenged. Whether you're just getting started or need a fresh perspective, I'm here to help. Schedule a call, and we’ll explore how to make your data work better for your business.