Data Analyst Journey of CVM Kumar
Discover CVM Kumar’s inspiring DataMites success story: from a commerce MBA to a skilled data analyst. Learn how structured training, Python, SQL, Power BI, and persistence can help you excel in data analytics and top IT courses.

Breaking into data analytics from a completely non-technical background may sound challenging, but it is certainly achievable with structured learning, consistency, and the right mentorship. In this DataMites success story, we bring you the journey of CVM Kumar, who transitioned from commerce and finance into the world of data analytics and machine learning. With over 10 years of diverse experience across multiple industries, Kumar shares his transformation, challenges, and valuable insights for aspiring data professionals.
From MBA Graduate to data analyst: CVM Kumar career path
CVM Kumar’s career path is a perfect example of how aspiring professionals can leverage the right skills and training from the top IT courses in demand to transition into the booming field of data analytics.
Q1: Can you tell us a little about your background and current role?
I started my career in commerce, completing my CWA and MBA in Finance & Marketing. Initially, I worked in manufacturing, consulting, and IT service roles like Capgemini and Accenture. Today, I’m working as a Software Specialist in Data Analytics and ML. It’s been over three years in this role, and the shift has been remarkable.
Q2: What motivated you to switch into data science and analytics?
In 2018, data science was emerging as a major career trend. I attended free weekend classes at DataMites, which sparked my interest. The structured teaching, assignments, and mentorship made me realize this was a field I wanted to build my career using AI for Data Analyst.
Q3: Did you have any prior experience in data before joining DataMites?
Not at all. My knowledge was limited to Oracle Retail and some ticketing systems. I had no exposure to Python, BI tools, or machine learning until I joined DataMites.
Q4: How did you manage learning alongside work?
I joined weekend batches at DataMites Institute. Classes were intensive full-day sessions with practical labs and assignments. We had WhatsApp study groups, which helped in peer learning. This setup allowed me to balance my job and upskilling.
Q5: What tools and skills did you pick up during your learning journey?
I primarily learned Python, SQL, Power BI, and ML algorithms. Over time, I expanded into Power Apps, Dynamics 365, and Azure. In today’s market, companies expect professionals to be multi-skilled.
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Q6: How important is programming knowledge for a Data Analyst?
It depends on the project. If budgets are high, analysts may focus more on insights rather than programming. But generally, a combination of SQL, Python, ML basics, and Power BI is essential. Even if your coding skills aren’t top-notch, understanding problem-solving through data is key.
Q7: What challenges did you face during interviews?
I attended 40–45 interviews before landing my role. Many times, I faced rejection due to gaps in Python or SQL knowledge. But instead of being discouraged, I treated every interview as feedback, learned from mistakes, and improved.
Q8: How do you stay updated with the latest industry trends?
At work, we have Innovation and AI teams that share updates. Additionally, I follow emerging tools like ChatGPT, Power BI advancements, and cloud technologies. Staying updated is crucial in this rapidly evolving field.
Q9: Do you think AI is a threat or an opportunity?
AI is definitely an opportunity, not a threat. Like every technology, it has pros and cons, but resisting it only holds you back. The key is to upgrade yourself and adapt to data analyst tools.
Q10: What advice would you give to beginners in data analytics?
- Don’t worry about your background commerce, engineering, or arts anyone can transition with consistent effort.
- Focus on structured learning rather than just cracking interviews.
- Attend as many interviews as possible it sharpens your knowledge.
- Build confidence, communication, and soft skills they matter as much as technical skills.
- Most importantly, never stop learning.
Key findings from Kumar’s journey as a data analyst
CV M Kumar’s journey from a commerce and finance background to becoming a successful data analyst highlights the essential lessons and strategies that can guide aspiring professionals, making it one of the inspiring DataMites success stories in the competitive world of data analytics.
- Background Doesn’t Limit You – Kumar moved from commerce and finance into data analytics, proving that passion and persistence matter more than academic background.
- Structured Learning is Essential – DataMites practical training, labs, and mentorship gave him the foundation to switch careers.
- Programming + Tools Combo – SQL, Python, ML, and Power BI formed the core data analyst skills that made him industry-ready.
- Interview Rejections are Learning Opportunities – Facing 40+ interviews, he turned failures into stepping stones.
- Soft Skills Matter – Confidence and communication are equally important for career growth.
- Staying Updated is Crucial – Following new emerging trends in data analytics like AI and Microsoft tools keeps you relevant in the market.
- Persistence Wins – Continuous learning and determination helped him secure a stable career in data analytics.
Kumar’s story proves that with structured learning, persistence, and a balance of technical and soft skills, anyone can successfully transition into data analytics and stay ahead in a constantly evolving industry.
Refer to the articles below:
- Data Analyst Course Fee in Chennai
- How much is the Data Analytics Course fee In Coimbatore
- Data Analyst Course Fee in Bangalore
Enrolling in Data analyst courses in Chennai and other major tech hubs like Pune, Ahmedabad, Coimbatore, Bangalore, Delhi, Chandigarh, Jaipur, and Mumbai provides learners with valuable industry exposure, networking opportunities, and promising career prospects in data analytics and software development.
DataMites Institute stands out as a trusted provider of top IT courses, offering programs in Data Science, AI, Machine Learning, Python, Data Analytics, Data Engineering, and IoT. With hands-on live projects, internships, and dedicated placement assistance, students develop practical, industry-ready skills. Globally recognized certifications from IABAC and NASSCOM FutureSkills further enhance their competitive edge.
In addition to its Data analyst course in Coimbatore, DataMites delivers flexible, industry-focused programs across key cities including Pune, Hyderabad, Ahmedabad, Chandigarh, Delhi, Jaipur, and Mumbai, making premium IT education easily accessible to learners nationwide.