Sourav Karmakar's journey from electrical engineering to data science expert at Intuit and Amazon showcases his passion, learning, and career transformation.


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Born and raised in the cultural capital of India, Kolkata, Sourav Karmakar always had a knack for numbers, patterns, and solving complex problems. His academic journey began with a B.Tech in Electrical Engineering from Jadavpur University, where he excelled in circuit design, control systems, and signal processing. But as he progressed, something else caught his eye—data.

While working on electrical systems, Sourav noticed how industries were increasingly leveraging data science and artificial intelligence to optimize processes. His job involved working with various algorithms for power systems and automation, which deepened his curiosity about the world of machine learning and data-driven decision-making.

Determined to transition into the field of data science, Sourav took a bold step—he pursued an M.Tech in Computer Science from the prestigious Indian Statistical Institute (ISI), one of India's top institutions for mathematics and data science. His hard work and perseverance paid off, as he not only completed the rigorous program but also secured the 1st rank in his batch.

His transition wasn’t easy. Coming from a non-computer science background, he had to master programming, statistics, and machine learning concepts from scratch. But his ability to learn fast, adapt, and solve real-world problems helped him succeed.

Sourav began his career in data science at Intuit as a Data Scientist, where he worked on financial forecasting models, fraud detection algorithms, and customer behavior analysis. His contributions didn’t go unnoticed—his innovative solutions led to improved model performance, automation, and business impact, earning him multiple accolades.

With a strong foundation in ML algorithms and data-driven decision-making, Sourav moved to Amazon as a Senior Data Scientist. Here, he worked on scalable AI solutions, customer segmentation models, and recommendation systems that directly impacted millions of users globally. His deep understanding of ML, AI, and optimization techniques made him a key player in Amazon’s data science initiatives.

Despite his success, Sourav never stopped learning. He remained deeply interested in exploring new machine learning techniques, AI research, and cutting-edge technologies. Whether it was reinforcement learning, deep learning, or NLP advancements, he kept upgrading his skill set, making him a true lifelong learner and innovator.

From an electrical engineer fascinated by circuits to a top-ranking data scientist at global tech giants, Sourav Karmakar’s story is an inspiring example of how passion, dedication, and continuous learning can lead to a successful career transition. He not only bridged the gap between engineering and data science but also proved that with determination and the right mindset, anything is possible.

🚀 From Electrical Circuits to AI Models—Sourav Karmakar’s journey is a testament to the power of transformation!

 

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