From Swiggy's recommendation engines to Flipkart's pricing algorithms — build a resume that showcases your ML expertise. KredibleCV helps data scientists land roles at India's leading tech companies.
Make sure these skills are on your resume for maximum ATS matching
AI-generated bullets tailored for Indian job market — use these as inspiration
Built a recommendation engine using collaborative filtering, increasing user engagement by 40% and revenue by ₹2.5Cr
Developed fraud detection model with 92% precision, reducing false positives by 35% and saving ₹50L annually
Engineered 50+ features and deployed XGBoost model, improving churn prediction accuracy from 78% to 91%
Based on real interviews at top Indian companies
Know your statistics basics — hypothesis testing, distributions, confidence intervals
Be ready to explain model choice and trade-offs (bias-variance, precision-recall)
Practice end-to-end project explanations (data collection → deployment)
Have a strong Kaggle profile or GitHub portfolio ready
₹8 LPA (fresher) → ₹40+ LPA (senior at top companies)
Salaries vary based on company type (startup vs MNC), location (Bangalore, Mumbai, Delhi), and experience.
Include: ML projects with quantifiable impact, programming skills (Python, R, SQL), visualization tools (Tableau, Power BI), cloud platforms (AWS SageMaker, GCP), and domain expertise.
Kaggle medals and strong GitHub portfolios significantly help for fresher and mid-level roles. For senior roles, production ML experience matters more.
Yes, especially if you have a strong quantitative background (Math, Stats, CS). Include if 7.5+ or from a reputed institution.
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