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.

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.
The working files, not just the export, so your team can change the work later without coming back to us.
Copyright transfers to you on final payment. Nothing we make for you is resold or reused elsewhere.
Included in the quoted price. Corrections are logged against the draft rather than argued over on a call.
You tell us what the finished thing has to do, and send whatever material you already have.
A written scope, a fixed figure and a delivery date, usually within one working day.
You sign off the architecture before production starts, so nothing large is built on a wrong assumption.
Work arrives in stages as it finishes, not all at the end, with two revision rounds included.
Files, sources and rights in your hands, and the invoice closed.
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.
Which models reached production, how many users or decisions they touched, and how long they stayed live. This single distinction separates most shortlists.
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.
Rows, sources, update frequency and how dirty it was. Clean benchmark data is not evidence of the skill actually being hired for.
Pipelines, feature stores, monitoring, drift detection, retraining cadence. Applied teams weight this heavily and academic candidates consistently omit it.
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.
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.
Three to five working days, one revision round, fixed price agreed in writing. Editable Word and PDF, yours outright.
A top placement is worth one line. Below that they occupy space that production work should hold, and experienced interviewers discount them heavily.
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.
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.
Materially. Research wants publications, novelty and methods; applied wants shipped systems, reliability and business metrics. We produce whichever you need, or both.
Precisely. Fine-tuning, retrieval and evaluation are different from API integration, and interviewers in this field detect vagueness in one question.
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.
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.
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.
Yes. Full copyright transfer, editable sources and production-ready files on final payment. Nothing is resold or reused.
Yes — any of a hundred-plus languages, typeset in the same studio so layout and page numbers match across editions.
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.






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 ₹2,500 | 3–4 working days | Free |
| Experienced professional two to ten years, any sector | ₹4,000 – ₹6,000 | 3–5 working days | Free |
| Senior and specialist manager, consultant, doctor, academic, engineer | ₹6,000 – ₹8,000 | 5–7 working days | Free |
| Executive and C-suite CEO, CFO, CTO, director, board roles | up to ₹10,000 | 7–10 working days | Free |
| ATS optimisation of your existing resume | Quoted on the document | 2–4 working days | — |
| Cover letter, added to any package | Quoted | with 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 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.
info@contentfactory.in · contentfactory14@gmail.com · Chennai, Tamil Nadu, India
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