Data Scientist & AI Resume Writing | ML Engineer Resumes
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Data science and AI resume writing

The dividing line in data science hiring is whether a model reached production. A resume full of notebooks, Kaggle placements and academic projects reads as a candidate who has not yet met a real dataset, real latency budgets or a business owner who wanted a different answer. What earns interviews is a model in production, the metric it moved, and what it cost to keep running.

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What you receive

The handover

Finished files

Production-ready output in the format your printer, platform or workshop actually needs — press PDF, editable source, CAD file, font binary or deck, as the work requires.

Editable sources

The working files, not just the export, so your team can change the work later without coming back to us.

Full rights

Copyright transfers to you on final payment. Nothing we make for you is resold or reused elsewhere.

Two revision rounds

Included in the quoted price. Corrections are logged against the draft rather than argued over on a call.

How it works

Five steps, and you approve the first three

01 · Brief

You tell us what the finished thing has to do, and send whatever material you already have.

02 · Scope & price

A written scope, a fixed figure and a delivery date, usually within one working day.

03 · Structure

You sign off the architecture before production starts, so nothing large is built on a wrong assumption.

04 · Production

Work arrives in stages as it finishes, not all at the end, with two revision rounds included.

05 · Handover

Files, sources and rights in your hands, and the invoice closed.

Related in this division

Often commissioned together

In detail

Data science resume writing — how we produce it

We interview for what reached production and what did not, because that is the line every hiring manager in this field draws first. Many strong candidates describe deployed systems in the same register as coursework, and lose interviews to weaker candidates who were clearer.

We also decide, with you, whether you are applying research-track or applied-track. Sending one document to both is the commonest reason a strong data scientist gets no callbacks from either.

Fixed price agreed in writing before work starts. Three to five working days, one revision round, and full confidentiality including from your current employer.

Get a fixed price Send your current document
What a data science resume must prove

Written to separate shipped work from notebook work

Production, clearly marked

Which models reached production, how many users or decisions they touched, and how long they stayed live. This single distinction separates most shortlists.

The business metric, not the model metric

AUC improved from 0.81 to 0.87 means little alone. Churn reduced, fraud caught, cost avoided, revenue attributed — that is the sentence a hiring manager repeats to their own manager.

Data scale and messiness

Rows, sources, update frequency and how dirty it was. Clean benchmark data is not evidence of the skill actually being hired for.

MLOps and the boring half

Pipelines, feature stores, monitoring, drift detection, retraining cadence. Applied teams weight this heavily and academic candidates consistently omit it.

Research or applied, chosen deliberately

A research track wants publications and novelty; an applied track wants shipped systems and reliability. The same record needs two different documents, and we say which you need.

LLM work described honestly

Fine-tuning, retrieval systems, evaluation and guardrails, distinguished plainly from calling an API. Interviewers in this field ask immediately and the distinction is obvious to them.

Most data and AI commissions also take the LinkedIn rewrite, since recruiters in this field search by framework, domain and deployment experience rather than by job title.

What you receive

The data and AI package

  • One or two page resume, production work led and clearly separated
  • A project sheet with data scale, model, metric moved and deployment status
  • LinkedIn rewritten for recruiter search by framework and domain
  • Distinct positioning for research-track against applied-track applications
  • A cover letter framework for each track
  • Notes on presenting academic-only experience while moving into industry

Three to five working days, one revision round, fixed price agreed in writing. Editable Word and PDF, yours outright.

Questions we are asked

Frequently asked

Do Kaggle placements help?

A top placement is worth one line. Below that they occupy space that production work should hold, and experienced interviewers discount them heavily.

What if none of my models reached production?

We lead with the closest thing — a pilot, an internal tool, an evaluated prototype — and are honest about the stage. Overstating deployment fails in the first technical conversation.

Should I list every framework?

List what you would be interviewed on. Recruiters search by framework, so the real ones matter, but a long list of passing use weakens the credible entries.

Is a research CV different from an applied resume?

Materially. Research wants publications, novelty and methods; applied wants shipped systems, reliability and business metrics. We produce whichever you need, or both.

How should I describe LLM work?

Precisely. Fine-tuning, retrieval and evaluation are different from API integration, and interviewers in this field detect vagueness in one question.

Questions

Before you commission

How much does thesis to book conversion cost?

Prices are fixed in writing before work begins. Scope, language count and turnaround move the figure; volume across a programme brings it down. Send the brief and you have a number within a working day.

How long does it take?

Most single deliverables run three to fourteen weeks depending on length and complexity. Programmes are staged so early parts reach you while later parts are still in production. You get a date with the quote.

Who does the work?

A specialist from our thesis to book team, with an editor and a production person on the same project. Everyone is bound by the same confidentiality terms.

Do I own the result?

Yes. Full copyright transfer, editable sources and production-ready files on final payment. Nothing is resold or reused.

Can it be produced in other languages?

Yes — any of a hundred-plus languages, typeset in the same studio so layout and page numbers match across editions.

Do you work with clients outside India?

Yes. Publishers, institutions and founders in the United States, United Kingdom, United Arab Emirates, Canada, Australia and Japan. Work is delivered by email and shared drive and quoted in US dollars.

An academic writer drafting a chapter at the Content Factory agency in Chennai
An editor proofreading a manuscript with a fountain pen
A consultant presenting a company profile document to colleagues
A translator timing captions across twin screens
A draughtsman dimensioning an engineering drawing
A designer selecting a colour palette for a brand identity
Two colleagues reviewing a layout on screen
Approvals

You sign off before we build

Structure agreed before production starts, so nothing large rests on an unchecked assumption.

The Content Factory floor in Chennai
Scale

Seven countries, a hundred cities

Delivered by email and shared drive, quoted in US dollars, scheduled against your time zone.

Colleagues reviewing translated work together
Languages

A hundred-plus languages

Translation and typesetting in one studio, so layout matches across editions.

The team in discussion in the studio lounge
Rights

You own everything

Full copyright transfer, editable sources and production files on final payment.

The Content Factory interior in Chennai
Confidentiality

NDA before anything is sent

Most of our work carries the client’s name, not ours.

An editor reviewing a manuscript at the Content Factory agency in Chennai
The agency

Fifteen years in production

Writers, translators, designers and typesetters on the same project, in the same building.

What it costs

Published prices, and the LinkedIn profile is free

Most resume services will not quote until you have sent your document and had a conversation. Content Factory publishes the range: ₹2,500 to ₹10,000, decided by your profession and the seniority of the role you are applying for — a graduate resume sits at the bottom of that range and a chief executive package at the top. The figure is fixed in writing before any work starts.

Who it is for Price Turnaround LinkedIn profile
Fresher and graduate
first job, campus placement, internship
from ₹2,5003–4 working daysFree
Experienced professional
two to ten years, any sector
₹4,000 – ₹6,0003–5 working daysFree
Senior and specialist
manager, consultant, doctor, academic, engineer
₹6,000 – ₹8,0005–7 working daysFree
Executive and C-suite
CEO, CFO, CTO, director, board roles
up to ₹10,0007–10 working daysFree
ATS optimisation of your existing resumeQuoted on the document2–4 working days—
Cover letter, added to any packageQuotedwith the resume—

The LinkedIn profile rewrite is included at no charge with every resume. Most services charge separately for it, which makes no sense — a recruiter reads the resume and the profile within minutes of each other, and any disagreement between the two counts against you. Content Factory writes both from one agreed position so they never contradict.

Where exactly you fall in the range depends on your profession and the level you are targeting, not on how long the document is. Send the resume you have now and you will have the figure the same working day — and if it needs nothing, we will tell you that instead.

Send a brief

Tell us what you need made

Send the brief and we reply with a scope, a fixed price and a date — usually within one working day. Whole programmes are quoted the same way as single titles.

A written scope, fixed price and date, usually within one working day.
Call the agency+91 76679 70439

info@contentfactory.in · contentfactory14@gmail.com · Chennai, Tamil Nadu, India

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