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The red node is Baiju. Pale nodes are charities, grey nodes are companies, and darker grey nodes are the people who sit on them. Dashed links are historical or inferred. Click any node to explore.

Person

Baiju Chandrakant Naik

Baiju Chandrakant Naik is a trustee of Highgate Newtown Community Partners (since 2025) and a director of 1 company. Source: Charity Commission and Companies House records.

Trustee at Highgate Newtown Community Partners · Director at Highgate Newtown Community Partners

  • 2 current roles
  • 3 previous roles
  • Served alongside 134 people
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Official record Charity Commission and Companies House · updated 25th October 2026

Roles

5 roles across 5 organisations (2 current, 3 previous)

Current roles (2)

Previous roles (3)

Charity trustee roles come from the current Charity Commission register, which lists serving trustees only. Company roles, current and past, come from Companies House.

People Baiju has served alongside

134 people across 5 organisations

Based on overlapping official board records. Calculated from official records It does not mean they know each other. Only formal co-service is listed: people are never joined on a matching name alone.

Highgate Newtown Community Partners 14 people · 1993-present

Highgate Newtown Community Partners 8 people · 2025-present

Brent Cross Association Limited 73 people · 1993-2011

John Lewis Partnership PLC 37 people · 1993-2018

John Lewis Partnership Trust Limited 13 people · 1993-2026

Sources

Charity Commission
Register of Charities: current trustees and appointment dates.
Companies House
Officer appointments and resignations.
Edition
Register edition compiled 25th October 2026
Identity
Records are treated as the same person only where our identity-matching rules support it. Confirmed relationships are supported by the approved identity-matching evidence and rules. Likely relationships are supported by sufficient evidence to suggest the records concern the same individual, but are not established as confirmed; they are shown with the label “Likely the same person”. How people are matched

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