Career Goal

Discuss Career Path

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Personalize Roadmap

Get Your Personalized Roadmap

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Interview Strategy

Interview Strategy For Top Tech Companies

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🎯 What You Will Get in This 1×1 Mentorship Session

➡️ You can use these sessions for any guidance from your mentor—tailored to your goals and learning needs.

  • - 6 one-to-one sessions (15 minutes each)
  • - Career goal clarity & direction discussion
  • - Personalized learning and transition roadmap
  • - Quick review of resume or LinkedIn profile
  • - Interview preparation and strategy guidance
  • - Project and portfolio improvement suggestions Or any kind of guidance you are looking for
Find Your Ideal Mentor

Book 1:1 Session with your mentor

Shashank Mishra

Shashank Mishra

Staff Data Engineer @ Prophecy
Ex – Expedia, Amazon, PayTM, McKinsey & Company

Shashank Mishra is a Staff Data Engineer at Prophecy, bringing 8+ years of experience building large-scale data systems across Expedia, Amazon, PayTM, and McKinsey & Company. An MCA graduate from NIT Allahabad, he specializes in architecting modern data pipelines, cloud-native platforms, and real-time analytics at enterprise scale.

Beyond industry leadership, Shashank is a prominent educator — running the YouTube channel E-Learning Bridge (183K+ subscribers) and a LinkedIn community of 186K+ professionals. Over 20,000 students have been personally mentored by him, many securing offers from top global tech companies.

Known for his project-driven teaching style, he simplifies complex data engineering concepts into actionable, real-world learning. His mission is to empower the next wave of data talent to master tools, build production-grade solutions, and turn data into a catalyst for career-defining outcomes.

Shubhankit Sirvaiya

Shubhankit Sirvaiya

AI Engineer @ Fidelity International
Ex – World Wide Technology (WWT), Accenture

Shubhankit Sirvaiya is an AI Engineer at Fidelity International, with prior experience as an AI Engineer at World Wide Technology (WWT) and as a Data Scientist at Accenture Growth & Strategy. He has 5+ years of hands-on experience across Data Science, Machine Learning, MLOps, and AI systems, working on real-world, production-grade problems.

Alongside industry work, he has been teaching and mentoring for the last 4+ years, helping 1000+ students and professionals transition into Data Science and AI roles. He also runs an active LinkedIn community of 58k+ followers, where he shares practical insights around AI engineering, careers, and real industry expectations.

His teaching style focuses on story-based learning and connecting the dots — breaking down complex AI concepts into clear mental models so learners don’t feel lost in the vast and often overwhelming AI syllabus. His goal is not just to teach tools, but to help learners understand why things work and how they fit together in real systems.

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