Akhil Gupta

Founder

Luminary

Jun 2026 - Current (2 months)

AI Advisor / Investor

Multiple companies

Aug 2025 - Jul 2026 (1 year)

Consult with early stage companies on AI, product, and strategy. Specific areas of expertise include customer discovery, product market fit, and data strategy for agents. Recent most assignments with an AI native video documentation creation platform, and agentic AI platform for data science workflows.

Senior Manager - Product, Strategy, & BizOps

Airbnb

Sep 2024 - Jun 2026 (1 year 10 months)

As overall GM / business lead for the brand goodwill / guest guarantee pod, my scope is broad and includes the following - Product discovery & innovation - set vision & goal, define roadmaps & use cases (especially focussing on AI), set prioritization & tradeoffs, delivering tangible results etc. Strategic finance & advanced analytics - OKR setting, forecasting, and multi-year strategic planning Policy & ops - Optimizing how we do business as a two sided marketplace Run the business - Manage a large P&L, leadership updates, decision making on investments, & team leadership

Manager, Advanced Analytics

Airbnb

Feb 2023 - Oct 2024 (1 year 9 months)

I work within the global operations org at Airbnb. Global ops is the core engine that the Airbnb platform runs on, allowing us to provide belonging and connection to millions of customers everyday

Tech Lead, Advanced Analytics

Airbnb

Aug 2021 - Feb 2023 (1 year 7 months)

Senior Analyst, Advanced Analytics

Airbnb

Mar 2019 - Jul 2021 (2 years 5 months)

Analyst, Advanced Analytics

Airbnb

Aug 2018 - Feb 2019 (7 months)

Associate Data Science Manager

Indus Insights

Jan 2018 - Aug 2018 (8 months)

Work scope includes leading highly skilled teams & project management for analytics consulting engagements. Currently working with a top fintech firm in the US, directly with the COO & CRO to provide strategic inputs on portfolio strategy, analytics, & visualization. Our work is expected to drive significant improvement in yields (IRR) and growth volumes of the business

Senior Data Science Associate

Indus Insights

Jun 2016 - Dec 2017 (1 year 7 months)

Team lead for multiple data science & predictive modelling engagements. A few examples are - 1. • Team lead on project aimed at predicting growth of business clients ($$ bn portfolio) of a top 3 investment bank in Australia; Predictions will be used to optimize cross / upsell & debt restructuring efforts of Relationship Managers (RMs) 2. Streamlined underwriting process of leading Turkish fintech company by developing model to predict loan approvals; expected to drive min ~$1.5Mn in loss savings at current annual volume 3. Provided analytics support to product team at one of India’s largest digital wallets & payments banks; included predicting customer churn for portfolio segmentation & piloting SMS campaigns to prevent inactivity for to

Data Science Associate

Indus Insights

Aug 2015 - Jun 2016 (11 months)

We use a combination of algorithms, statistical expertise, and business "intuition" to solve tricky problems for large companies. In a year I worked on multiple engagements including - 1. Developed a series of risk scorecards to optimise the credit cards portfolio for one of the largest banks in the world. Expected loss saving ~ USD 1 million. - Implemented multiple machine learning algorithms like hierarchical clustering, CHAID based decision trees, and penalised maximum likelihood logistic regressions (lasso) across multiple platforms (R, SPSS, & SQL) 2. Subsequently automated the entire regression modelling procedure on R - This allowed us to condense the delivery time for a predictive model from 3 months to < 2 days - Model automa

Analyst

Indus Insights

Jun 2015 - Aug 2015 (3 months)

Associate - Strategy & Portfolio Analytics

Singapore Angel Network SGAN Pte Ltd

May 2014 - Apr 2015 (1 year)

SGAN is an early-stage micro venture capital fund. They are backed by the multi-billion dollar Thakral Group of Singapore. I came in at a time when the India office was being set up. The scope of my work included - 1. Developing a sustainable framework to evaluate startups for equity investment and actively participating in deals w.r.t the final investment decision. 2. Liaising with other funds and company founders globally for deal flow, investment discussions, & business growth. This included attending high-level strategy meetings and conferences, including Venture Engine in Sri Lanka, the largest summit in the country. 3. Creating long-term processes to maintain the fund database, manage deals, and mentor startups by leveraging the

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