What Employers Actually Look For in Fresher’s

The reality is that most companies don’t expect deep experience from fresher’s, but they do expect practical skills. Here’s what significantly improves your chances of landing a job:

1. Hands-on Projects – Real work you can show on GitHub or a portfolio — like predicting trends, classification models, or simple AI applications.
   2. Good Python + SQL Skills – Python is the language of choice, and SQL is essential for working with databases.
   3. Understanding of Machine Learning Basics – You don’t need mastery at first, but you must understand core concepts like regression, classification, and evaluation metrics.
   4. Tools Exposure – Familiarity with Pandas, NumPy, scikit-learn, visualization tools (like Power BI or Tableau), and even introductory AI/LLM tools sets you apart.

 

How Fresher’s Can Compete Better  

If you’re a fresher, here’s a more realistic view than the hype you may see online

• Top peak packages (₹15–55 LPA) exist — but they’re rare and usually go to specialized skill holders or campus recruits from elite colleges with strong projects.
  • Most off-campus hiring is skills-focused, not degree-focused. Skills matter more than your college name.
  • Even if early offers are moderate, experience compounds quickly — salaries can rise fast with 1–2 years of solid work.

To improve your chances, work on real data projects, participate in internships, learn modern AI tools (including Generative AI), and get certifications that show practical ability.

 

AI Data Scientist Resume & Portfolio Guide (Get Interviews, Not Just Views)

 

If your resume and portfolio are weak, your skills don’t matter. Recruiters don’t read minds — they read resumes. And most AI/Data Science resumes fail because they are boring, vague, or full of theory with no proof.

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