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My Great Learning Journey in Analytics

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I am a Senior Manager in the Industry and Process Consulting team at HCL Technologies Ltd, with over 13 years of experience in supply chain functions across industry and consulting. I have worked with companies like Infosys Technologies Ltd, Tata Consultancy Services Ltd, and Rockwell Automation Pvt Ltd across Singapore and India. I am married with two kids aged 8 and 4, and my wife works as a Technical Project Manager in the retail industry.

Before enrolling in the Data Science and Business Analytics program, I worked as a Senior Manager in the Industry and Process Consulting team at HCL Technologies Ltd, working with clients across industries, predominantly in their supply chain function. My biggest professional challenge and fear was the world moving towards rapid digitalization, and I felt being a pure process consultant would leave me years behind in my career. I realized it was important to keep myself up-to-date with the latest trends.

With the growing amount of data being generated and stored by companies, I believed that learning advanced analytics would help take my career to the next level. I chose Great Learning because of its comprehensive curriculum covering not just Data Science but also how it is applied in different functions. I compared multiple online programs and found that none of them covered the domain part as extensively as Great Learning. I had no apprehensions about learning in online mediums as the weekly mentor sessions helped me connect with the mentor directly for any queries.

The best part of the course was the mentored learning sessions as the mentors were knowledgeable and patient enough to clear my doubts. I could connect directly with a mentor and receive clarifications on the week’s learning. The mentors’ expertise was instrumental in understanding the concepts in detail and applying them in my area of work. Without mentor support, I don’t think I would have understood the concepts clearly or completed the program.

Now, having spent 11 months in the program, I approach supply chain problems from an analytics standpoint with more confidence. I can easily identify the root cause of problems and provide instant solutions with the help of data.

My advice to people looking forward to learning analytics is to remember that making analytical models is probably the easiest part of analytics. What’s more important is to understand the business aspect of the problem, why a specific model was chosen, and what insights we gain from the output. It’s also essential to understand what data is required to solve the problem, and this skill can only be gained through an understanding of the business domain.

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