From Working Professional to Amazon: How Newton School Helped Anuron Sarma Crack His Dream Role

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Transitioning into a dream company is not always about changing careers — sometimes, it’s about strengthening fundamentals, refining skills, and preparing with the right guidance. This is exactly what Anuron Sarma, now a Business Intelligence Engineer at Amazon, experienced during his journey with Newton School.

Already an experienced working professional, Anuron was looking for a structured and reliable pathway to reach top-tier MNCs like Amazon. He needed clarity, targeted preparation, and expert mentorship — something Newton School is well known for.

Choosing the Right Learning Path with Newton School

After speaking with Newton School’s career counselors, Anuron was guided towards an upskilling course - EXCELERATE - tailored for working professionals. The goal was clear:

- Revise core concepts
- Strengthen fundamentals
- Prepare through mock interviews aligned with real hiring processes

This personalised approach ensured that his preparation was focused, efficient, and relevant to industry expectations.

Mentor-Led Support That Made the Difference

A key pillar of Anuron’s success was the mentorship he received from Abhijit, his assigned mentor at Newton School. Their relationship remained highly professional yet deeply impactful.

As a full-time working professional, Anuron required flexibility — and his mentor delivered exactly that. Whether it was late-night mock interviews from 9 PM to 10 PM or early morning sessions, Abhijit consistently made time to support him.

During the early stages of interviews, Anuron faced confidence issues and nervousness. His mentor helped him identify weak areas, polish his skills, and gradually build the confidence needed to perform under pressure. This consistent, mentor-led guidance played a crucial role in his interview readiness.

Navigating the Placement Process with Confidence

Once the Newton School placement portal opened, Anuron began receiving multiple opportunities. In the first 2–3 weeks, he was referred to 20–25 companies. However, he wasn’t shortlisted for the initial 5–8 applications, which was initially demotivating.

At this stage, his mentor helped him reframe his mindset.

Every company has different job descriptions, expectations, and role requirements. Not getting shortlisted doesn’t reflect capability — it reflects fit. This insight helped Anuron stay focused and consistent instead of discouraged.

By the end of one month:

- 30–35 company referrals
- 12–14 shortlists
- 4–5 interview calls

This steady progress validated both his preparation and Newton School’s placement support system.

Cracking Amazon with Strong Fundamentals

As interviews progressed, Anuron felt fully confident in his preparation. Newton School’s curriculum, mock interviews, and real-world problem-solving approach ensured he wasn’t memorising answers — he was thinking like a professional.

During his Amazon interview, there were no second doubts. His strong fundamentals allowed him to confidently steer the discussion, regardless of complexity. His mentor’s belief in his abilities further reinforced his confidence during the process.

The Importance of Fundamentals in Tech Careers

One of the most important lessons from Anuron’s journey is the value of strong fundamentals.

Fundamentals form the backbone of any technical role — whether it’s data analytics, business intelligence, or software engineering. Weak basics make it difficult to solve real-world problems during assessments, exams, or interviews. Strong fundamentals, on the other hand, give candidates clarity, confidence, and long-term career growth.

Where Anuron Sarma Is Today

Today, Anuron Sarma works as a Business Intelligence Engineer at Amazon — a testament to focused preparation, mentor-led learning, and Newton School’s outcome-driven approach to upskilling and placements.

His journey highlights how Newton School helps working professionals crack top MNCs through structured learning, personalised mentorship, and strong placement support.