Hi, I'm Neha. Thanks for stopping by!

I take messy business problems and turn them into systems teams actually use.

I went from the COO's Office of a billion-dollar enterprise to 0→1 work because I love building from scratch. My work sits between strategy and execution. I find what's slowing a team down, agree the fix with the people who own it, build the tool and stay until it's used. I also drive growth. Over the last two years I've converted 80% of my CXO pitches into clients and managed nearly $0.5M in enterprise accounts, owning pricing and commercials end to end. I've led 100+ customer demos with business owners, CXOs and function heads, and partnered closely with CHROs at large enterprises, building many of their solutions myself.

Explore the case studies LinkedIn

Every good story starts with a question.

Mine started in English literature classes, where I learned to read between the lines. It continued through an MBA, where the lines became spreadsheets. At Tech Mahindra, on the internal strategy team, the questions got bigger. At Havish M Consulting, an analytics startup, they got messier and far more interesting.

Today I'm Neha, and I spend my days on questions like these:

Why isn't this team using the tool we built?
What is this data really telling us?
How does a company move from talking about AI to working with it?

I haven't stopped asking questions, and I don't plan to.

Chapter 1English literature
Chapter 2SRCC
Chapter 3Strategy, Tech Mahindra
Chapter 4Analytics + AI startup, HMC
NowEnterprise growth & AI adoption

Growth impact

For two years I led every client conversation myself, from the first CXO pitch through pricing and commercials to delivery. Here's what that added up to.

Winning and growing accounts

80%of CXO pitches converted into clients

~$0.5Min enterprise accounts managed

End to endownership of pricing, commercials and upsell

Working with senior leaders

100+customer demos led for business owners, CXOs and function heads

CHRO partnerworked closely with CHROs at large enterprises on talent, succession and HR analytics

Hands-onbuilt many of those clients' solutions myself, from first demo to the tool their teams use

Case studies

Each one started with a team that was stuck. Pick a case to see the return it delivered, then use the working tool yourself. All data in the demos is synthetic.

Return on the project

Live demoOpen the full case study

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Delivered as a consultant at Havish M Consulting. Client names are withheld; figures are indicative, as published in each case study.

How I work

The same five steps run through every case study above, whether the team is in a credit office, a cable factory or an LPG bottling plant.

Step 1

Discover

Ride along with the team and baseline the real numbers before proposing anything.

Step 2

Design

Agree the rules with the people who own them, such as credit policy, incentive slabs or plant SOP steps.

Step 3

Build

Do the heavy lifting with Python, GenAI and Power BI, and ship it in a format the team already trusts.

Step 4

Adopt

Pilot with a tight feedback loop, log overrides instead of blocking them, and track usage.

Step 5

Scale

Hand over with a runbook, a named owner and a review cadence, so it keeps working after I leave.

Career

Consultant, Analytics

Havish M Consulting · current

Converted 80% of CXO pitches into clients over two years, leading every client call for HMC and its partner training firms, and managed nearly $0.5M in enterprise accounts. Owned pricing and commercials for every offering, pitched AI adoption programmes and grew accounts through follow-on work. Delivered projects that doubled underwriter capacity, cut material buys by 4.8% and lifted clearance margin by 2.1 points. Trainer for EY, Bharat Petroleum, Coca-Cola, Zydus, DS Group and NASSCOM teams.
COO's Office

Tech Mahindra

Led dashboarding and automation initiatives for the Chief Operating Officer's Office, turning manual leadership reporting into tools the team relied on.
Guest faculty

SRCC · NIFM · ASCI

Sessions on Excel, Power BI and GenAI for students and government officers.
PG Diploma, Global Business Operations

Shri Ram College of Commerce, University of Delhi

Microsoft Office Specialist.

What I bring to a team

Problem framing: Baselining, root-cause work and turning a vague ask into rules and KPIs leaders sign off.
Building: Claude, Copilot Agent Builder, Python, Power BI, Power Query, Excel/VBA, D3.js and Three.js.
Adoption: Pilots, weekly huddles, hands-on training and usage tracking, so tools are still in use months later.
Enterprise sales: 80% pitch-to-client conversion with CXOs and nearly $0.5M in enterprise accounts. I own pricing, commercials and upsell, and still work hands-on with plant teams, field sales, underwriters and HR.
HR & talent: Talent trackers, succession workbenches and consolidated talent views for a national skilling body, a power transmission company and a Middle East retailer.