In a world that thrives on data-driven decisions, the notion of a mechanical engineer transitioning into a data science career might seem unconventional yet intriguing. How does one navigate this unconventional path and bridge the gap between two seemingly disparate fields? What skills can a mechanical engineer bring to the table in the realm of data analysis? Unveiling a crucial role in his journey to success, Pragnya Narasimha’s story took a significant turn following his enrollment at DataMites Data Science Training Institute.
A Mechanical Engineer’s Journey into Data Analyst with DataMites
In a remarkable journey of interdisciplinary exploration, a mechanical engineer Pragnya Narasimha taken a bold leap into the realm of data analytics with the guidance of DataMites. Armed with a solid foundation in engineering principles, this individual embarked on a transformative path, bridging the gap between two seemingly disparate fields. With DataMites comprehensive data analytics training and support, the engineer’s transition to becoming a proficient data analyst has been marked by a seamless integration of their technical prowess with the analytical mindset required for data-driven insights. This inspiring story underscores the boundless opportunities that arise when one dares to cross disciplinary boundaries, underscoring how diverse skill sets can converge to drive innovation and expertise in the rapidly evolving landscape of data analysis.
DataMites conducted an insightful interview with Mr. Pragnya Narasimha, who delved into the essential components of his successful career transition. In an endeavor to uncover the hidden factors that facilitated his remarkable journey from Mechanical Engineering to Data Analyst Course, we unravel the key secrets that paved the path for his remarkable shift in the professional landscape.
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Q) Pragnya, please tell us about yourself.
My name is Pragnya Narasimha, and I am a mechanical engineer from Mysore. I was absolutely adrift after graduating and had no idea what I should do next. For a year, I worked as an intern in the field of digital marketing.
Q) What drew you to data science and how did you end up at DataMites?
I often found myself hanging out with the data science and development team during my internship in digital marketing, and I developed an interest in data science and the intriguing things the teams accomplished. And I felt compelled to learn more about this fascinating topic. DataMites Institute emerged as a leader in data science training, and I decided to pursue it.
Q) What was your learning methodology at DataMites?
DataMites provided the foundation for my python knowledge. The course material and syllabus are quite detailed, covering both academic and practical aspects of each topic. DataMites aided me in grasping the fundamentals of machine learning. I also followed up with youtube channels like Free Code Camp, Krish Naik, and Programming with Tim to get more acquainted with the subject.
Q) How was the IABAC assessment done?
We had two exams in all. The first was on the fundamentals of statistics and Python, and the second was on a project for which I was given 15-20 days to complete and submit a report to the IABAC. The IABAC Certification helped me a lot because it gave me a leg up on my resume in the interviews I went to.
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Q) How did your data science interview go?
Because I was a newbie, most of my interviews consisted of conversations about the fundamentals of Python and SQL, NLP, and my previous projects. Because the majority of the interview will be focused on your projects, it is unavoidable to be well-versed in them.
Q) Is your job as a data scientist stressful?
I’m currently employed as a data analyst for an iOS-based firm that specialises in digital ad verification. It’s not truly a stressful situation. As a novice in the profession, I am now thoroughly enjoying my work. My job also has some artistic parts to it.
Watch the complete interview here
Pragnya Narasimha’s journey from mechanical engineering to becoming a proficient Data Analyst is a testament to the transformative power of determination, curiosity, and targeted education. His story showcases how an individual can successfully transition from one domain to anothis, leveraging transferrable skills and a thirst for knowledge. DataMites Institute played a pivotal role in guiding Pragnya through this unconventional career path, illustrating the significance of comprehensive training and industry-aligned certification in paving the way for a rewarding data science career. Pragnya’s narrative serves as an inspiration for those who are looking to explore new horizons and redefine their professional trajectories.
DataMites is a global institute that empower data analyst with vital expertise and understanding its commitment through industrial perspective. With an array of comprehensive courses spanning data science, artificial intelligence, machine learning, python, data engineering, and data analytics, DataMites offers offline data analyst training in prominent cities such as Bangalore, Pune, Chennai, Hyderabad, Mumbai, and Ahmedabad, as well as online data analyst training. Coupled with the esteemed IABAC Certification, DataMites emerges as an invaluable launchpad to embark on your voyage into the dynamic realm of data analytics.