We have business, engineering and data acumen as our foundation of becoming data professionals. Broad experience in multiple industries, B2B services, Telco, Online Marketplaces, Media, Healthcare, Banking, Public Sector, and now developed a boutique consultancy to apply all our learnings at scale.
Our experience was built through a bottom up approach - we always built data products to prove value, gain leadership trust, obtain more investment and take a step back to build a forward looking data strategy. This was our opportunity to learn by doing, grow as individuals and step up to build long term plans with distributed and diverse teams.
CEO & Co-Founder
Data and product leader, ex-Vodafone and OLX Group, with proven experience in data strategy building and implementation during his Chief Data Officer role. He successfully built and revamped teams in various structures (Global, European, co-located/distributed).
CTO & Co-Founder
Technology leader and analytics expert, former Director of Data Engineering at OLX Group, with experience in scaling teams, building foundational and future proof engineering capabilities. He has a proven record in driving organization-wide data transformations.
ADVISOR
Former McKinsey Engagement Manager and Google Head of Product Strategy, with hands on experience in managing Product & Data teams as well as having P&L ownership. He has an MBA from Columbia Business School and a B.Sc. in Computer Science.
Head of Customer Insights
Experienced strategist and researcher with a background in design thinking and customer insights. He is a former Director of Customer Research at OLX Group and has a proven track record of driving business growth through innovative solutions and cross-functional collaboration.
Engagement Manager
Former allocator turned full-time builder with expertise in data-driven decision-making, signal identification, pricing and stakeholder influence. Ex-Amazon and OLX Group, he has an MBA from Cambridge, a strong focus on the customer and a serious passion for learning new things.
We have a pool of 300+ data professionals to support execution. We can close existing gaps in our customer’s internal capabilities to ensure sustainable value delivery.
Data management involves managing and ensuring the quality, accuracy, and security of an organization's data assets. Data management professionals design and implement data governance policies, procedures, and best practices to ensure compliance with regulations and support effective use of data for business decision-making.
The following profiles are available:
Data Engineering is responsible for designing, building, and maintaining the systems and infrastructure that enable organizations to manage and analyze large volumes of data. They work closely with data scientists and analysts to ensure that data is collected, processed, and stored efficiently and accurately.
The following profiles are available:
BI, Analytics & Data Science is responsible for analyzing and interpreting complex data sets to provide insights and recommendations to improve business performance. They use statistical and machine learning techniques to create predictive models and data visualizations that support strategic decision-making.
The following profiles are available:
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