Sahil Gohel

Principal Consultant — AI & Analytics

SahilGohel

9

Years of experience

100%

Project renewal rate

60%

Faster insight delivery

25+

Specialists overseen

I help enterprises turn AI and analytics into outcomes people trust.

London, UKsahilgohel91@gmail.comLinkedIn

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01 — Profile

Strategic analytics and consulting leader with nine years of experience advising Fortune 50 and global enterprises across retail, FMCG, technology, and financial services.

I deliver analytics transformations and AI-driven solutions that grow revenue and earn client trust — leading cross-functional teams, advising senior stakeholders, and translating complex data into decisions people act on.

02 — Experience

Kantar

Principal Consultant, Analytics UK

2023 — Present  ·  London

100%project renewal rate

  • Spearheaded a conversational AI solution integrating brand tracker, panel, ad spend, and sales data — owning it from sales deck and demo tools through client demos and iterative product improvement.
  • Won three first-time client accounts (“new logos”) by converting leads and leading proposals, expanding the company’s portfolio and revenue base.
  • Acted as the go-to resource for high-stakes sales conversations, crafting proposals and straw-man solutions for key opportunities.
  • Led strategic data initiatives and BI automation, cutting insight delivery time by 60% and raising data adoption across global teams.
  • Provided indirect oversight of 25+ analysts, scientists, designers, researchers, and offshore teams.

Kantar

Director — Data Strategy & Engineering

2021 — 2023  ·  Remote

F50clients advised on data strategy

  • Advised multiple Fortune 50 companies on data strategy, pricing, and resourcing, driving strategic decisions across global brands.
  • Managed diverse analytics portfolios, exceeding revenue targets through innovative, scalable solutions.
  • Led the design and adoption of advanced analytics frameworks, improving operational efficiency and client satisfaction.

Cartesian Consulting

Consultant

2017 — 2021  ·  Mumbai

4industries served as account owner

  • Owned accounts for multi-billion-dollar clients across retail, insurance, FMCG, and automotive, aligning analytics solutions with business goals.
  • Managed analytics teams delivering NPS improvement, demand forecasting, and personalised sales targeting.
  • Optimised inventory for a major electronics retailer and built a Dealer Health Index for a global tractor manufacturer.

03 — Selected Projects

  1. 2025

    Conversational AI pilot

    Rolled out a conversational AI tool built on brand tracker data for a leading client.

  2. 2024

    Connected insights ecosystem

    Linked brand tracker, panel, Nielsen, ad spend, and CSAT data into unified decision-making dashboards.

  3. 2023

    Portfolio optimisation

    Recommended Jobs-To-Be-Done to R&D teams at one of the largest tobacco and vape producers.

  4. 2022

    Hyper-personalised SKU recommendations

    Drove retailer uptake for a global FMCG giant.

  5. 2020

    Marketing mix models

    Optimised marketing spend for a luxury beauty retailer.

  6. 2019

    NLP-driven NPS analysis

    Identified NPS drivers for a leading life insurance provider.

04 — Expertise

AI & Analytics

  • AI & machine learning implementation
  • Dashboard design
  • Insights & storytelling

Client Craft

  • Client advisory & stakeholder management
  • Proposal development & sales enablement
  • Solution embedding

Leadership

  • Cross-functional team leadership
  • Consensus building
  • Conflict resolution

05 — Skills & Stack

What I do, in the order an engagement needs it

Most AI work dies between phases — a good idea nobody can build, or a working build nobody adopts. I cover all three.

Skills

Frame

Working out what is worth building, and what it is worth.

  • AI opportunity assessment
  • Analytics & measurement strategy
  • Business cases and pricing
  • Proposals and sales enablement
  • Scoping and resourcing

Build

Getting a working thing in front of real users.

  • Data harmonisation and governance
  • LLM orchestration and retrieval
  • Evaluation and model testing
  • Prototyping and delivery
  • Security and access review

Land

Making sure it is still used six months later.

  • Solution embedding and adoption
  • Senior stakeholder management
  • Cross-functional team leadership
  • Insights and storytelling
  • Dashboards and BI automation

Stack

Data and AI
Python, SQL, Postgres, Claude API, retrieval and evaluation design, local models (Llama, Gemma, Qwen)
Build
React, TypeScript, Supabase, Vercel, GitHub CI/CD, Cursor, Figma
Enterprise
Power BI, Tableau, Azure, Microsoft 365

06 — Education

Degrees

Certificates

MBA

Indian Institute of Management, Rohtak, India

2015 — 2017

HBX Core Pre-MBA

Harvard Business School  ·  2015

B.Sc. Business Economics

University of Ljubljana, Ljubljana, Slovenia

2011 — 2014

Big Data Research

London School of Economics  ·  2015

Languages

EnglishNativeHindiNativeGujaratiNativeFrenchElementary

07 — Contact

Let’s talk

I’m currently open to senior roles in AI implementation, AI product management, and analytics consulting. The best way to reach me is by email — I reply within a day.

sahilgohel91@gmail.com

linkedin.com/in/gohelsahil+44 7778 157299

Download résumé