• I am an Applied Data Scientist with 6+ years of experience in machine learning and data science, with deep hands-on exposure to building and deploying production-grade ML and GenAI systems, including LLM-powered agentic workflows, RAG pipelines, real-time personalization frameworks, conversion probability models, and end-to-end ML systems used at scale in real products. • I have personally gone through 50+ data science and machine learning interviews and have taken 100+ interviews for Data Scientist and ML Engineer roles, which gives me strong clarity on how interview expectations differ across experience levels and roles, what skills companies actually evaluate, and where most candidates go wrong despite having good resumes. • I help students and working professionals with focused ML and GenAI interview preparation covering statistics, probability, classical machine learning, SQL, ML system design, and real-world case discussions, with an emphasis on building intuition, explaining trade-offs, and answering in a way that aligns with how interviewers think. • I also mentor professionals on career strategy and skill planning, including resume positioning, identifying high-impact gaps, designing efficient study plans, and making informed transitions between Data Scientist, ML Engineer, and Applied Scientist roles, especially for those preparing alongside a full-time job. • My academic background includes a PGDBA in Data Science from ISI Kolkata, IIM Calcutta and a B.Tech from IIT (BHU), Varanasi, and my mentoring style is structured, practical, and honest, focused on giving clear direction, actionable feedback, and confidence rather than generic advice.