Most sayThe right answer wins.
We say
Answers are cheap. Questions are the asset.
AI made analysis fast and cheap. The advantage now belongs to whoever asks the right business question first.
For leaders whose AI pilots haven’t yet moved a business number.
Any leader can ask ChatGPT or Claude a question today. But the goal was never an answer — it was an objective hit. And every hour you spend prompting is an hour not spent growing the business.
You bring the data and act on the signal. We handle everything in between — and keep the loop running.
Whatever you run today. No migration, no new platform to learn.
Cleaned, modelled and governed in one pipeline.
Models and agents forecast, score, flag and recommend the next action.
A baseline before launch, a target after it, a scorecard in between.
Your team acts on sharper signals. The number moves.
The four problems we’re asked to solve most often — and what AI does about each one.
The pipeline looks healthy, but deals stall and discounts creep up.
By the time they cancel, the warning signs are months old.
An engagement survey is a once-a-year snapshot. Overtime, pay gaps and mood shifts build up in between — and no one is watching.
Days every month go into copying data between spreadsheets.
Three beliefs shape every engagement — and what we say no to.
Most sayThe right answer wins.
We say
AI made analysis fast and cheap. The advantage now belongs to whoever asks the right business question first.
Most sayThe best algorithm wins.
We say
Every competitor can rent the same AI. What they can’t copy is your data, joined up and put to work.
Most sayA 98%-accurate model is a success.
We say
A 98%-accurate model that changes nothing is a cost. We judge our work by the business metric alone.
Accenture (Pinnacle Award) · Hewitt Associates · Upwork Inc. · IMA India
Accenture Institute for High Performance white paper · Experfy / Harvard Innovation Lab article
Every service starts with a business problem and ends with a result you can measure.
Where AI will pay back in your business — and where it won’t.
Dashboards, forecasts and models that explain what’s driving your numbers.
LLM assistants and research agents built into the tools you already use.
Hand repetitive work to AI, keep people on the decisions.
Engagement, attrition and pay insight — before good people leave.
Evidence-based research your board and market will trust.
We find the number worth moving and test whether AI can move it.
We build the tool or model, deploy it and measure the change.
A monthly partnership to keep improving the numbers that matter.
A selection of engagements from 300+ projects.
Challenge: Strategy research took consultants days of desk work per question.
What we did: Built an AI research agent that applies 22 strategic frameworks and exports client-ready decks and reports.
Challenge: Licences were rolled out, but no one could say who was really using AI — or why not.
What we did: Designed AI adoption metrics and change-management tools to track and lift usage. (via Culminate Strategy Group)
Challenge: Pay decisions were made without a reliable view of the market.
What we did: Built benchmarking models comparing roles against market ranges to support fair, competitive pay.
Challenge: A global marketplace needed to understand what drives customer experience and loyalty.
What we did: Led business analytics for the Customer Experience function for 1.5 years — insight, reporting and decision support.
You’ll know what you get, how long it takes and what it costs — before we start.
Prefer hourly or ongoing support? We also work on a monthly retainer or through Upwork.
The first call is free. Diagnostics and builds are fixed-price, agreed in writing before any work starts — no surprise invoices.
We work inside your environment wherever possible, sign an NDA on request, and never use your data to train public models.
No. Cleaning and joining data is part of the work. We tell you up front if the data can’t answer the question.
Ashish leads every engagement personally. AI speeds up the analysis; a human checks and signs off every conclusion.
We’ll say so on the first call or at the end of the diagnostic — before you spend on a build.
Whatever fits your stack: Python, SQL, Power BI, Looker Studio, Excel, and LLMs such as Claude and GPT.
White papers, short articles for decision makers and free guides. New pieces added regularly. Free to read, no email wall.
Dsciencepro is an AI integration partner for growing businesses. We connect AI to the data you already keep, and judge the work by one number you run on: sales, customers kept, people kept or cost.
One business number moves, or we tell you why.
A business anywhere can work with an expert anywhere.
The records you already keep unlock every answer.
Expert-grade recommendations, for the corner shop and the corporation alike.
You no longer need a room full of elite consultants to solve your problem. You need your data, and AI that reads it.
What changedFrom days of desk research to a framework-backed deck, on demand.
What changedLeaders see adoption by team, and what is holding the rest back.
What changedPay decisions start from the market, not a guess.
What changedLeadership reporting on one source of truth, with no break in service.
Client details stay confidential; measured results are shared on a call.
Founder & Principal Consultant
An economist by training and an analyst by trade — I’ve spent 18+ years turning data into decisions for consulting firms, global platforms and growing businesses.
Full-time, part-time, independent, contract and founder: each stop is marked for what it was, and Upwork has run alongside since 2009.
Full-time employee. Research and C-suite surveys.
Full-time independent consulting with patent owners and investors.
Part-time: Capilano University on campus, as and when, and KIKA off campus. Learned Canadian work culture.
Back in India in a deep recession. In May 2009, the first oDesk project: $30.
Full-time in consulting, serving North American and European clients.
Top Rated, 300+ projects. Founded Dsciencepro in 2019; full-time contract with Upwork Inc., Jul 2019 to Dec 2020.
The technology changes every few years. The question doesn’t: did the number move?
Dashboards on GCP and Power BI; machine-learning models that forecast
Large language models wired into the data, turning it into insight
AI adoption tracked against business and workforce numbers
Tools that read, decide and act, built for clients and for Dsciencepro
Integrated into your tools, judged on the business result
Every stop added one skill, and the newest layers are AI. Nothing has been poured out since.
Last updated 18 October 2026.
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Last updated 18 October 2026.
All content on this site, including text, graphics, video and the Dsciencepro name and logo, belongs to Dsciencepro. All rights reserved. You may share links and quote short passages with credit.
Charts and engines marked “illustrative” show the kind of change we design for and are not client results.
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A typical month for a small sales team
Suggested actionYour reps start the day with a ranked call list, not a spreadsheet.
A quarter we hear about every week
Suggested actionFix delivery dates for those 11 accounts before you cut the price.
A week in the leadership team
Suggested actionThe meeting starts with the same numbers for everyone, and one thing to fix.
How a good customer slips away
Suggested actionAccount manager calls this week, fixes the tickets and meets the new contact.
Priya, one of your best analysts
Suggested actionRebalance her workload, approve the leave and review her pay band this month.
Month-end for your reporting team
Suggested actionYour team spends day 1 on the three exceptions, and the other days on decisions.
How a first call with us usually goes
Suggested actionIf AI can’t move your number, we’ll say so on the call.
Illustrative stories and names. Real results depend on your data — we’ll tell you honestly on the first call.