Business Strategy | Customer Research | Emotional Positioning | ⬆️ Growth, ⬇️ CAC, and ⬆️ Revenue

Most companies don’t struggle because their product is weak, they struggle because they’re talking to the wrong customers, at the wrong time, with the wrong message.

I began my career solving that problem through user research and customer discovery, helping founders identify their best buyers, validate ideas, and bring offerings to market with clarity and speed. My work centered on helping teams stop guessing and start acting on evidence.

In May 2024, I expanded that work into a broader commercial function.
I realized the same analytical skills that uncover customer insights can also be used to build predictable, qualified demand for companies that already have strong delivery but inconsistent pipelines.

Today, I design and operate The Demand System:
a structured, signal-driven pipeline engine that identifies companies entering buying windows, qualifies them with rigor, and creates high-fit commercial conversations every month.

It’s user research applied to revenue that's systematized.

My work combines:
• buying-signal and market intelligence
• structured qualification frameworks
• context-aware personalization
• AI-enabled workflow automation
• weekly reporting for leadership visibility

The result is a demand engine that gives teams consistent, qualified conversations without relying on broad, inefficient outbound.

I work with agencies and B2B service companies that want a more disciplined, data-informed, and predictable approach to generating demand.

If your team needs clearer customer insight, better qualification, or a system that creates demand you can count on, I’m always open to a conversation.

🤪 Abeiene N.

Omnia Consulting

• Led advanced data analytics projects, applying statistical modeling, machine learning, and data mining techniques.
• Architected and deployed scalable data pipelines for comprehensive data processing.
• Analyzed complex datasets to identify trends and insights, bolstering predictive modeling and statistical analysis.
• Designed, trained, and deployed ML models to address pressing business challenges.
• Executed A/B tests optimizing model performance metrics such as accuracy and precision.
• Developed data visualization dashboards, enabling stakeholders to make informed, data-driven decisions.
• Stayed updated with current data science trends and integrated best practices in analytics

Senior Data Scientist

Drowzee

• Led the product’s journey from conceptualization to market launch.
• Developed predictive models for medical datasets, including Time Series Forecasting and advanced Image processing using Python
and TensorFlow.
• Processed and prepared large datasets for effective data mining.
• Tackled challenges posed by imbalanced datasets to extract meaningful insights.
• Monitored ML models in production environments, ensuring optimal performance and reliability.
• Collaborated with cross-functional teams and managed relationships with external hardware contractors.
• Pioneered a real-time Neurofeedback protocol, enhancing sleep efficiency by 20% for 85% of users in 6 weeks.
• Advocated the company’s tech advantages in investor pitches, aiding in securing significant investments.
• Played a pivotal role in recruiting, from candidate screening to onboarding.

Data Scientist & Computational Neuroscientist 

Inria

• Worked under the mentorship of Dr. Fabien Lotte, contributing to the POTIOC team’s research initiatives.
• Designed a computational model to predict MI-BCIs user performance from brief 3-minute baseline recordings, achieving a 5% MAE.
This was achieved by integrating neurophysiological predictors with advanced machine-learning techniques.
• Devised and refined algorithms that predicted and enhanced the quality of subject training based on EEG data processing.
• Conducted rigorous experiments to corroborate the significance of identified neurophysiological predictors.

Data Scientist

My Size (NASDAQ: MYSZ)

• Pioneered the integration of Machine and Deep Learning algorithms, significantly enhancing the algorithm’s accuracy.
• Devised and deployed a deep learning network, reducing user errors and mitigating sensor artifacts.
• Spearheaded the transition of algorithm development from MATLAB to Python.
• Designed, implemented, and validated innovative signal processing algorithms; ensured real-world performance through extensive
testing.
• Conducted comprehensive research in data analytics, sensors, and signal processing, contributing to product improvement.
• Refined and optimized algorithms based on real-world data, simulations, and implementation considerations.
• Collaborated closely with app development teams to ensure the effective real-life performance of implemented algorithms.

Signal Processing Algorithm Developer

Holon Institute of Technology

• Contributed to research initiatives in fNIRS technology under the guidance of Dr. Michal Balberg.
• Processed and analyzed physiological signals using MATLAB, enhancing data accuracy and insights.
• Performed advanced statistical analyses on experimental results leveraging tools like SPM and GLM, as well as various statistical
tests.

Research Assistant

At Omnia Consulting, my role as a Senior Data Scientist is underpinned by a robust education in Computational Neuroscience from ESPCI Paris - PSL. We architect scalable data pipelines and deploy machine learning models that empower stakeholders to make data-driven decisions, enhancing business outcomes. Our team's dedication to integrating the latest trends in data science ensures that our practices remain at the cutting edge.

My tenure at Drowzee, where we developed Neurofeedback protocols to improve sleep efficiency, exemplifies my commitment to applying data science for tangible health benefits. The competencies I honed there, such as predictive modeling and A/B testing, are vital in my current projects, where we analyze complex datasets and refine ML model performance to address challenging business demands.

taplio

The Battle

🤪 Abeiene N.

Eidan Tzdaka

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