Data Science Cumulative Guide with Souritra Banerjee

Most DS professionals don't fail because of weak skills. They fail because their profile, resume, and interview performance aren't telling the same story.

This package fixes all three — in a structured sequence that builds on each session.

Phase 1 — Career Positioning

→ Resume rebuild — impact-first rewrite targeting Senior DS roles at product companies

→ LinkedIn optimisation — headline, About, featured section calibrated for recruiter visibility

→ GitHub strategy — which repos to pin, how to write READMEs, what signals seniority

→ Portfolio website setup — structure, project framing, and role-specific positioning

Phase 2 — Technical Positioning

→ Project selection and architecture thinking — which projects to highlight and how to frame technical decisions for interviewers

→ Business storytelling — connecting your ML work to revenue, cost, and business outcomes

→ DS/AI/SQL/system thinking guidance — gap identification and targeted prep plan

Phase 3 — Interview Simulation

→ Full 60-minute DS Mock Interview with Bar Raiser evaluation

→ Detailed feedback on every section — ML, coding, case study, behavioural, resume walkthrough

→ Honest readiness assessment and 2-week prep plan

This is the complete path from invisible to shortlisted.

Ideal for: DS professionals with 2–6 years of experience who want structured, end-to-end preparation for Senior DS roles at product companies — not piecemeal advice.