MAKE THE MOST OF YOUR DATA.

Is your company sitting on piles of data, just waiting to be whipped into business-relevant insights and models?

I’m an AI & machine learning consultant, and I help companies make the best use of today's machine learning technology in order to hit their KPIs. I analyze your data, build machine learning models, and show you how to be more data-driven, using resources you already have in order to reach your business goals. Whether your current pain point is conversion rate, fraud prevention, anomaly detection or any other - your data already knows what you need to solve it, and I can help you find out how.

BUSINESS-FIRST APPROACH.

Each project is carefully tailored to your specific business goals. First, we clarify what it is you are looking to get from the project. Then, I design a solution to best fit your business needs.

DELIVERY-FOCUSED PROCESS.

Time is money, and the sooner you get your AI solution up and running, the better. My process is a delivery-focused one, with consistent communication throughout the design, research and engineering stages. This way, we can make sure a working, viable solution is implemented in your systems as soon as it can be.

ABOUT ME

I’ve been working with data for over a decade, both in academia and in the tech industry. Prior to consulting, I worked for companies such as Armis and PayPal, utilizing big data and machine learning for fraud prevention, risk mitigation, and everything cybersecurity.

Today I work with both startups and more established companies, helping them use their data - and today’s AI & machine learning technology - to drive success.

In my spare time I lead the Israeli community of Women in Data Science, utilize deep learning techniques to improve whale research at the Deep Voice foundation, and mentor junior data scientists taking their first steps in the field.

SERVICES

I provide many services, some of which are:

1. Working with early-stage startups to refine their vision for incorporating AI into their product, and design both a short and long-term work plan.

2. Helping established companies understand the best ways to use their data in order to eliminate pain points and improve efficiency.

3. Building AI / ML systems to fit a specific need or requirement.

4. Mentoring junior data scientists and DS team managers, focusing on both the technical aspects of data science work, and the organizational challenges of implementing it into existing environments.