Ajay’s Career Transformation to Data Analyst

Breaking into data analytics from a non technical background may seem challenging, but Ajay, who transitioned from a non-voice process role at Cognizant to becoming a Data Analyst at Go Desi with the support of DataMites placement team. His journey is a true inspiration for professionals looking to move into the booming field of data analytics.

From Non-Voice Processes to Data Analyst: Ajay’s Career Path

Ajay’s inspiring career journey highlights how enrolling in top IT courses can empower professionals from non-technical roles, like non-voice processes, to successfully transition into rewarding career in data analytics.

Q1. Ajay, could you introduce yourself and your background before stepping into Data Analytics?

Hi, I’m Ajay. I worked at Cognizant as a Senior Process Executive in a non-voice process. While my role wasn’t directly linked to Data Science, I often handled data in Excel, which sparked my curiosity. This motivated me to pursue Data Science and AI courses at DataMites Institute.

Q2. What motivated you to leave your job and pursue a career in Data Analytics?

Honestly, I felt stuck in my previous role. The night shifts and limited growth opportunities pushed me to make a change. I wanted to build a career in IT, and since Data Science and Analytics are fast-growing fields, I decided to take the leap with full-time learning.

Q3. How was your learning journey at DataMites?

My journey started with Certified Data Scientist (CDS) and I continued with the AI Engineer program. Initially, I had zero coding knowledge, but through structured training, live classes, and constant practice, I gained confidence in data analyst tools like Python, SQL, and Machine Learning. I spent around 4 hours daily practicing in addition to live sessions.

Q4. Many learners face distractions. How did you overcome them?

My biggest distraction was my phone. To focus, I kept my phone outside my study room and set 1-hour timers to study without interruption. Over time, I increased my focus span. This simple habit helped me concentrate deeply on coding and projects.

Q5. What role did projects and resume-building play in your preparation?

Projects were crucial. Most interviewers asked detailed questions about the projects on my resume. I also focused on building my LinkedIn profile, updating my resume in ATS-friendly formats, and preparing a portfolio. This helped me stand out during the job search.

Refer to the articles:

• Lakshmi’s Inspiring Transformation as a Data Analyst
• Lisha’s Inspiring Journey as Data Analyst
• Sanjeev’s Career Journey as a Data Analyst

Q6. How was your experience with DataMites placement process?

It was excellent but challenging. I had to clear multiple mock interviews before being job-ready. I actually failed four times before clearing the mock in my fifth attempt. These failures helped me identify my weak areas, especially in basics data analyst skills like Python, SQL, and ML. The placement team supported me with resume corrections, mock interviews, and job referrals, which eventually led me to land my role at GOI Foods.

Q7. Can you share the type of questions asked in your interviews?

Most interview questions focused on:

• SQL (Joins, Window Functions, UNION, Ranking queries)
• Python basics
• Machine Learning algorithms
• Explaining my projects clearly and practically

Interviewers mainly wanted to see how I applied concepts to real business problems.

Q8. What advice would you give to aspiring Data Analysts?

• Focus on basics: Python, SQL, and ML.
• Practice more than theory: 75% of learning comes from hands-on work.
• Early Preparation: Start preparing your resume, LinkedIn, and portfolio at least 2 months before course completion.
• Accept failures during mock interviews and actual interviews: learn and improve each time.
• Stay consistent and avoid distractions: persistence is the real key.

Key Findings from Ajay’s Success Story

Ajay’s inspiring journey proves that with the right mindset, discipline, and guidance, anyone can successfully transition into the field of big Data Analytics and machine learning. His experience highlights the importance of structured learning, persistence, and real-world preparation.

1. Career Transition is Possible with the Right Approach:  Ajay’s shift from a non-technical role to Data Analytics shows that background is not a barrier. With dedication and focused upskilling, learners from any domain can break into this fast-growing field.

2. Importance of Strong Technical Foundations: Ajay emphasized mastering Python, SQL, and Machine Learning to build a solid base. These skills form the backbone of data analytics and are crucial for handling real-world projects and interviews to get into top industries hiring data analyst.

3. Role of Projects and Portfolios: Building a strong project portfolio helped Ajay showcase his abilities. Recruiters value practical applications, and demonstrating hands-on experience made his profile stand out.

4. Value of Discipline and Resilience: Ajay stayed disciplined by cutting distractions like excessive phone use. He also turned failures in mock interviews into learning opportunities, proving that resilience and consistency drive long-term success.

5. Placement Support as a Game-Changer: DataMites played a pivotal role by providing resume-building, mock interviews, and placement guidance. This structured support gave Ajay the confidence and preparation needed to crack real interviews.

6. Networking and Visibility Matter: Ajay started networking early on LinkedIn to connect with recruiters and showcase his progress. This proactive approach increased his visibility and opened more career opportunities.

Ajay’s journey stands as one of the remarkable DataMites success stories, showcasing how persistence, guided learning, and hands-on exposure can transform careers. For aspirants, it proves that with the right skills, mentorship, and determination, stepping into Data Analytics is not only possible but also deeply rewarding. Apart from this the Wiseguy Reports, Commercial Pharmaceutical Analytics Market, worth USD 7.15 billion in 2023, is projected to rise to USD 15.3 billion by 2032, expanding at a CAGR of 8.82% from 2025 to 2032.

Refer to the articles below:

• Mastering Data Analytics in India
• Data Analyst Career Scope in India
• How to Become A Data Analyst 

Pursuing Data Analyst courses in Ahmedabad and other leading tech hubs such as Pune, Chennai, Coimbatore, Bangalore, Ahmedabad, Delhi, Chandigarh, Jaipur, and Mumbai opens doors to excellent industry exposure, valuable networking opportunities, and strong career prospects in data analytics and software development.

DataMites Institute is a trusted provider of top IT courses, offering programs in Data Science, AI, ML, Python, Data Analytics Course, Data Engineering, and IoT. With live projects, internships, and dedicated placement support, learners gain practical skills. Globally recognized certifications from IABAC and NASSCOM FutureSkills give students a strong competitive advantage.

Alongside its Data Analyst training in Coimbatore, DataMites also delivers flexible, industry-aligned training across key cities including Pune, Hyderabad, Coimbatore, Ahmedabad, Chandigarh, Delhi, Jaipur, and Mumbai, making top-quality education easily accessible.