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 Eclipse Data Residency Program

Your Career Gap Ends Today

Start working at a Data Science & AI company from Day 1 — real projects, real salary, real experience. Not a course. A paid career launch.

Learn  |  Work  |  Earn  |  Transform

Client & Hiring Partners

Vidyasetu Ed-Wellness Private Limited

Eclipse Data Residency Program

Bridge your Career Gap, Build your future

Your resume says “Year Gap.” Your bank account says “Senior Analyst.”

You’ve explained the gap in twenty interviews. You’ve been told “get experience” but no one will give you a start. Enough.

Eclipse Data Residency is not a course. It’s a paid career launch.

  • Salary on Day 1. Confidence on Day 2. You start earning the moment you join — not after “training,” not after six months of unpaid work.
  • The only program that pays you before you prove yourself. We believe in your potential. That’s why you get a paycheck while you build real skills on real client projects.
  • Real projects, not fake assignments. Real salary, not pocket money. No dummy datasets. No “classroom” case studies. You work on live industry problems — and you get paid a professional stipend, not a sympathy token.
  • Documented experience. Salary slips. Client wins. That’s your new resume. After 12 months, you walk away with 12 months of verifiable work experience (salary slips + certificate), a portfolio of real client deliverables, and corporate confidence that no fake internship can give.
Eclipse Data Residency Program — professional at work

Sound Familiar?

If This Sounds Like You…

Your resume says "year gap." Your bank account says "senior analyst." Enough.

Career Gap Haunts Every Interview

Every conversation starts with "explain the gap" — and you're tired of being judged for circumstances beyond your control.

Stuck in the Experience Trap

Jobs need experience. Experience needs a job. You're caught in a loop that feels impossible to break.

Parents Are Losing Hope

Another course promising "placement assistance"? They want to see real stability, not more maybes.

Time Keeps Passing

Every month without progress feels like falling further behind. You need direction, not more theory.

Not Another Course

Here’s What Makes Eclipse Data Residency Different

Most data science and AI programs teach you and hope you get hired later. We employ you during the program itself.

Traditional Courses

  • Learn for 6–12 months
  • Build practice projects
  • Graduate and hope for a job
  • Career starts only if hired
  • Gap remains unexplained
  • No income during learning

Eclipse Data Residency Program

  • Work from Day 1 in Data Science
  • Real client projects in AI
  • Already employed
  • Career starts immediately
  • Gap replaced with experience
  • Salary earned

12+ Years of Data Science & AI Training Excellence

The 12-Month Path

How Eclipse Data Residency Program Works

You're not preparing for the industry — you're inside it from Day 1.

Months 1–3: Immersion

Career Foundation Phase

You join an AI & Data Science company and begin working from Day 1. This is professional onboarding — not a classroom.

Python, SQL & Power BI

For data engineering and data science.

Statistics & Machine Learning

AI fundamentals and Natural Language Processing (NLP).

AWS, Azure Cloud & Azure AI

Hands-on with the platforms employers actually run on.

Generative AI & LLMs

GPT, Claude, Mistral, Grok and other large language models.

Real-Style Projects

Data science and AI projects mirroring actual client work.

Corporate Communication

Workplace skills for day-one professional readiness.

Months 4–12: Deployment

Client Project Phase

You transition to full project responsibility with formal employment and salary.

Employment Contract

Formal offer letter.

Financial Independence

Earning while you work.

Monthly Salary Slips

Documented, verifiable income.

Experience Certificate

Issued after completion.

What You Do Daily

  • Work on live client projects (Retail, BFSI, Manufacturing, etc.)
  • Build data pipelines & analytics dashboards
  • Gen AI chatbot development, AI for business applications
  • Support Machine Learning (ML) model deployment
  • Present to stakeholders & clients
  • Contribute to production systems

Your First Year Timeline

Month 1

Career Day 1. You report to a Data Science company.

Month 2–3

Intensive skill building with production tools and real-style projects.

Month 4

First salary + assignment to a client project team.

Month 5–12

Full project work, mentorship and skill growth, accumulating experience.

Month 12

You complete as a working Data professional with documented experience.

Outcomes

What You Walk Away With

01

12 Months Experience

Documented with salary slips & certificate.

02

Real Project Portfolio

Client work across industries.

03

Career Clarity

Data Analytics or AI direction.

04

Identity Transformation

From gap-year to professional.

05

Workplace Confidence

Corporate readiness & skills.

Who Should Apply

Eligibility Criteria

  • Graduates with a 1–3 year career gap
  • B.Tech / B.Sc / B.Com / BCA / BBA / MBA / M.Sc seeking stability
  • Professionals returning after a career break
  • Anyone ready to start their career immediately
  • Committed to 12 months full-time, in-person

What Happens Next

Selection Process

01

Aptitude Test

Logical reasoning, quantitative ability and communication assessment.

02

Personal Interview

A conversation to assess commitment and fit.

03

Final Decision Within 5 Days

No long waits — you'll know where you stand quickly.

Program Investment

Fee, Earnings & Payment Structure

₹3.21 Lakh (+ GST)Program Fee
₹1.80 LakhYou Earn (9 months' salary)
3-Part Payment PlanFinal payment after your first salary

FAQs

Your Questions Answered

When does my Data Science career actually start?

Day 1 of the program. From the moment you join, you're working inside a Data & AI company and your experience begins immediately. Your LinkedIn and resume reflect this from Day 1.

Will my career gap still be a problem?

No. Your gap is replaced with documented work experience. You'll have an offer letter, salary slips and an experience certificate. Your resume shows employment from Month 1, not a gap.

Is the work phase remote or in-office?

In-office (onsite). Early-career professionals need corporate environment exposure to build workplace discipline, face-to-face collaboration skills, and professional habits that remote work can't provide at the start of a career.

How selective is the screening process?

Very selective. We maintain small batch sizes for quality mentorship. The screening includes an aptitude test (logical reasoning, communication, quantitative ability) and a personal interview to assess commitment and fit.

Do I get paid during the first 3 months?

Salary begins in Month 4, when you transition to client project work. Months 1–3 are your intensive foundation phase — but your career experience accumulates from Day 1.

Is this an internship or a job?

Eclipse Data Residency Program is career activation — a structured 12-month pathway. You work from Day 1, receive formal employment with salary from Month 4, and complete with full professional experience.

What if I don't have a technical background?

Many participants come from non-technical backgrounds (B.Com, B.Sc). The first 3 months build you from fundamentals to industry-readiness. If you clear our screening test, you have the required aptitude.

Apply Today

Ready to end your career gap for good?

Small batches, real client work, a decision within 5 days of your interview.

Quick Enquiry