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.

Joy Chatterjee

DCMN

Specialize in developing end-to-end ML infrastructures and solutions to tackle complex marketing challenges.

Work with and integrate advanced platforms such as Codeium, Cursor AI, ChatGPT, replicate.ai, fal.ai and many more to streamline research and accelerate development. Off and on designing scalable pipelines on native and cloud platforms, to activate real-time predictive models, time series forecasting, customer segmentation, ROI optimization and more.

Lead AI Engineer

- Led the project for multivariate time series forecasting of client campaigns, resulting in significant insights in ROI for TV campaigns.
- Implemented LLM-based chatbots for internal teams, using RAG architectures and context
tuning models.

Senior Data Scientist

The Joy of Data

Product Ops & Data Consultant, with over 10 years of experience in data science and three years in product led growth (PLG). Founder of The Joy of Data, based in Berlin.

For data, collaborative ventures with Mercedes, FedEx, Just Mad as well as AI startups such as brighter AI, DCMN focussing primarily into leveraging data for strategic product led growth.

For product, over the past three years, been a data partner for product teams. Responsible for boosting Product Led Growth (PLG) strategies through the application of data science methodologies and data analytics. Expertise domain includes proficiency in product operations, OKRs, KPI driver trees, cohort analysis, user segmentation and much more.

Founder

ShowHeroes Group

Data Scientist (In House Consulting)

brighter AI

Data Scientist

Data Engineer

Mercedes-Benz Research & Development North America, Inc.

Mavrx Inc.

Working on specific project oriented machine vision tasks to aid the system of smart farming techniques developed and monitored by Mavrx Inc.

Machine Learning Engineer

MARKABLE

Rochester Institute of Technology

Work at the lab mainly revolves around projects in the genre of algorithm development. The algorithms are aimed at solving various problems from the image processing and computer vision communities.

Graduate Research Assistant

Peer Advisor Leader

CESC Ltd.

Worked with a team of four to establish and implement control algorithms to modulate the outlet steam efficiency of the central boiler system in a thermal power plant.

Technical Intern

🌱 Founder, The Joy of Data 🎯 Helping Product Teams Grow With Data Science 🚀 Ex-Mercedes | Lead Data Scientist 🎙️ Speaker, Podcasts, YouTube

🚀 Lead AI Research Engineer | Data Science Expert | Product Coach 🚀

With over 11 years in Data Science and AI, I specialize in developing innovative, Data-Driven and AI solutions that elevate Product performance and drive Business Growth. I bring a unique blend of hands-on technical skills and strategic Product insight, supporting teams to leverage Data for informed decision-making and robust growth strategies.

🔹 Key Highlights:
	•	LLMs & Chatbots: Implemented advanced LLM-based chatbots with RAG architectures, boosting team efficiency and workflow.
	•	Predictive Analytics: Achieved a significant ROI increase on client TV campaigns through multivariate time series forecasting.
	•	MLOps & Automation: Created scalable pipelines with Docker & Kubernetes, ensuring seamless deployment and monitoring.
	•	Patented Innovations: Primary author on two patented ML technologies, focusing on object tracking and anonymization.
	•	Cross-functional Leadership: Successfully lead teams and mentor junior Data Scientists, ensuring collaborative, data-driven decision-making.

🔹 Technical Arsenal:
Python 🐍 | SQL 🗃️ | Big Data Ecosystems | Statistical Modelling 📊 | A/B Testing | Cloud Environments (AWS, Azure)

🎙️ Speaking Engagements :
An avid speaker at prestigious Data Science and AI conferences over the past two years, where he shares his insights and experiences to foster a collaborative and informed Data Science community.

taplio

The Battle

🤪 Abeiene N.

Joy Chatterjee

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