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akash-sood97/README.md

Akash Sood

Pricing and supply decisions for two-sided marketplaces. ISB AMPBA.

  • Start with a business decision, then build the analysis that helps make it.
  • Show the customer and partner consequences together.
  • Keep assumptions and modelled results separate from real operating experience.
Project The decision
Two-sided pricing engine Choose prices that partners can serve. Test larger price rises before rolling them out.
Promotion & cannibalisation Judge discounts on the whole category. Test whether extra sales outweigh lost margin and sales taken from other products.
Partner retention Prioritise partners whose outcome the offer can change, check service quality, and match the offer to why they might leave.
Supply & serviceability Limit bookings to what can be served. Reprice where capacity is tight before paying to add partners.
Pricing console · product specification Start with read-only recommendations and safety checks. Roll out small changes with monitoring and clear stop rules.
Supply chain network design Plan the new centre at Kunming. Use the fast method to screen options; verify the investment with the exact model.
Speech emotion recognition Use the model to order the review queue, not to label calls. Re-set the flag threshold for each new speaker pool.

Lived context — not a project output: recovered peak-period serviceability from 75% to 90%+ by building supply depth in a home-services marketplace.

Portfolio · LinkedIn

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  1. akash-sood97.github.io akash-sood97.github.io Public

    Portfolio site: marketplace decision projects (pricing, promotion, retention, supply)

    HTML

  2. distribution-network-design distribution-network-design Public

    Supply chain network design optimiser and case study: MILP vs heuristic on a synthetic network; year-3 demand hits 104% of capacity. Team project.

    Python

  3. partner-retention-system partner-retention-system Public

    Partner retention decision system: churn risk to value-weighted, uplift-aware targeting, scored against known effects in a seeded simulation.

    Python

  4. promotion-cannibalisation-engine promotion-cannibalisation-engine Public

    Nets a discount's direct lift against cross-price cannibalisation on real retail invoices (UCI Online Retail II): breakeven elasticity rises a median 2.1x.

    Python

  5. supply-serviceability-capstone supply-serviceability-capstone Public

    Capstone: demand forecast plus least-cost lever mix (cap intake, reprice, add supply) to hold a 95% service level. Synthetic marketplace, assumptions swept.

    Python

  6. two-sided-pricing-engine two-sided-pricing-engine Public

    Reprices 10 marketplace segments under a partner-earnings floor and serviceability constraint: +7.1% modelled contribution vs +3.2% demand-only. Synthetic data, reproducible.

    Jupyter Notebook