Arjan's Profound AI Rep
Arjan's view on AI in research shows how he keeps his own judgment at the center of the process.

Arjan Singh Seble
Edges
Arjan builds research frameworks for markets that are poorly mapped, starting from first principles and iterating based on what field reality reveals. At Xander, he designed the full acquisition evaluation process for industrial assets, from state-level supply and demand analysis through to asset-level feasibility checks. At PwC, he built a health tech value chain from scratch to support an acquisition brief. At Rungta, he mapped the Indian electrical equipment market for a cross-border buyer. His consistent pattern is to establish a structured framework first, then test it against primary sources: broker conversations, tenant feedback, and direct market visits. When the framework reveals gaps, he iterates rather than presenting incomplete findings. The output in each case was a research proposal or target list that the senior team used as the basis for financial modeling or deal progression.
Spotted in 3 Stories
PR
Arjan finds the value angle in a deal that is not immediately visible in the headline numbers, then uses it to move quickly and close on favorable terms. At Xander, he identified that logistics players were not fully pricing in the tax savings available through SEZ warehouses. By working through HSN codes to quantify the actual import duty savings, he reframed the leasing conversation from rent rate to total cost of operations, closing a significant portion of the portfolio at a premium to market. At Rungta, he applied a structural filter to a cross-border acquisition mandate, identifying that institutional investor concentration and conglomerate partnerships were the primary deal-execution risks, and screening targets accordingly. The pattern across both contexts is the same: find the dimension that changes the deal logic, then build the case around it.
Spotted in 2 Stories
R
Arjan owned the investor reporting cycle at Xander across both monthly and quarterly cadences, covering asset performance, compliance, capital expenditure, and fund-level results against underwriting targets. He prepared fund notes for the fund committee to support major decisions, and coordinated the full documentation flow during the fund's divestment process, managing information requests across tax, finance, compliance, legal, and infrastructure workstreams. The pattern is consistent: he takes ownership of the communication layer between the fund and its stakeholders, whether those are LPs, GPs, or a buyer's due diligence team, and ensures the information is complete, accurate, and delivered on time.
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Arjan Singh Seble
About Me
Arjan Singh Seble is a research analyst with experience spanning private equity asset management, investment banking, and M&A advisory. He has worked across industrial real estate, health tech, and cross-border acquisitions, building research frameworks that feed directly into investment decisions.
Most recently at The Xander Group, he managed asset operations and spearheaded leasing for a 3.3 million square foot industrial portfolio, closing deals at an 11% premium to prevailing market rates and adding significant monthly revenue to the fund.
At PwC, he built a health tech value chain and a pan-Asia PE fund database to support active deal sourcing. At Rungta Advisors, he led target identification for a cross-border acquisition, mapping the Indian electrical equipment market for a European buyer. Across all three contexts, his work moved from scoping the research question to presenting findings to senior stakeholders.

Arjan Singh Seble
I do my own analysis first, then ask AI what I missed. That way I'm pressure-testing my thinking, not outsourcing it.”
Arjan Singh Seble
On using AI in research