MAKE THE MOST OF YOUR DATA.
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.
ALTERNATIVE PROTEIN & FOODTECH
In the rapidly evolving alternative protein and FoodTech industry, effective R&D is crucial. I apply my expertise in machine learning and data science to accelerate and optimize R&D processes, fueling efficiency and innovation. From predictive modeling and experimental design optimization to the wide array of methodologies within machine learning, I equip your team with tools to fast-track product development, streamline prototyping, and enhance research outcomes. Harness the power of AI in your FoodTech R&D and turn your innovative ideas into sustainable, market-ready solutions faster.
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. I have a special focus on the field of Alternative Proteins and FoodTech, though I still work with companies from all domains.
I also lead the Israeli community of Women in Data Science, utilize ML for whale preservation with the Deep Voice foundation, and offer my expertise with AI and data under the Good Food Institute mentoring program, as well as with the Modern Agriculture Foundation.
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.
PRO BONO CONSULTING SESSIONS
WHO ARE THEY FOR?
Founders of early-stage startups, who would like my (free) advice on their AI strategy.
Women-led startups, startups that focus on alternative protein / animal welfare, or founders who have signed with Founders Pledge.
Things I've Written
Data science team management — how to do it right? A compilation.
How to classify taxonomic data like a pro.
Building your first hierarchical classification model? This post is for you.
Best practices for your hierarchical classification ensemble model.
How to measure the performance of your hierarchical classification model.
How to stay up-to-date while not losing focus on our own work.
PRO BONO WORK & SOCIAL INITIATIVES
THE GOOD FOOD INSTITUTE (GFI)
WOMEN IN DATA SCIENCE ISRAEL
DEEP VOICE FOUNDATION
MODERN AGRICULTURE FOUNDATION