How Nakshatra Secured Her First AI Engineer Job as a Fresher

Have you ever wondered how a fresher with just a B.Sc. in Computer Science can land their very first role as an AI Engineer? Meet Nakshatra from Tamil Nadu, who, as a complete fresher, turned her academic knowledge into a career-ready skill set in Artificial Intelligence. With no prior work experience, she relied on structured learning, hands-on projects, and expert mentorship to confidently step into the professional world of AI. The turning point? A comprehensive, mentor-led program at DataMites, which prepared her to confidently transition from fresher to industry-ready AI professional.

For many fresh graduates, the leap from college to industry can feel overwhelming. Nakshatra’s journey shows that starting as a fresher is not a limitation; it’s an opportunity to build skills from the ground up, gain practical exposure, and secure a promising career in AI. Her story is a testament to how determination, persistence, and the right guidance can help freshers transform their academic foundation into real-world achievements.

Nakshatra’s Journey from B.Sc. Graduate to AI/ML Engineer: Complete Q&A

This Q&A session highlights Nakshatra’s complete journey from graduation to securing a role in AI/ML, covering learning, preparation, and interviews.

1. Can you introduce yourself and tell us a bit about your background?

My name is Nakshatra, and I’m from Tamil Nadu. I completed my BSc in Computer Science and Applications. After coming to Bangalore for college placements, I met a mentor who suggested exploring courses in Data Science, AI, and Full-Stack development. I was particularly interested in Data Science, and I realized that building practical skills alongside my degree would enhance my career opportunities. That’s when I joined DataMites and enrolled in their Certified Data Science course.

2. Why did you choose Data Science as your career path?

I believed that a formal degree alone would not be sufficient for a tech career. I wanted hands-on skills in analytics, programming, and machine learning to make myself industry-ready. Data Science seemed like the perfect starting point, and later, I could gradually move toward Artificial Intelligence roles.

3. How was your learning experience at DataMites?

DataMites provided a highly interactive environment. From the basics like installing applications to advanced concepts in Python, SQL, statistics, and machine learning, mentors guided us at every stage. Every session required practical coding on laptops, and detailed study materials helped strengthen our theoretical knowledge.

4. Where are you working now, and what is your role?

I am currently working as an AI Engineer in Bangalore at Horizon Broadband. I am engaged in practical AI projects that enhance my skills in data science and machine learning. This experience is helping me build a strong foundation, and I aim to transition into a full-time AI role in the near future.

5. Did you also learn AI during your Data Science course?

Yes, I did. Initially, I focused only on Data Science as a foundational step. But later, I explored AI modules, which have been extremely helpful for my career growth as an AI engineer.

6. How did you handle programming and technical challenges?

Learning Python and machine learning was challenging at first. The basics were easy, but the advanced topics required multiple practice sessions. Mentors and teaching guides helped clarify doubts, and over time, I developed my own coding style and problem-solving approach.

7. What role did statistics play in your training?

Statistics was crucial as it forms the backbone of machine learning. Since my college curriculum didn’t cover much statistics, I initially found it difficult. With consistent practice and mentor guidance, I gained confidence in statistical concepts, which helped in understanding algorithms better.

8. Did you work on projects during the course?

Yes, we worked on several projects in teams, usually with my college friends. These projects were instrumental in applying theoretical knowledge to real-world problems and prepared me for the internship and interviews.

9. How did mock interviews help you?

Mock interviews were extremely valuable. Initially, I struggled, but with each session, I learned how to handle pressure, answer technical and scenario-based questions, and present myself confidently. By the third mock interview, I was fully prepared for the real interviews.

10. How did DataMites support you in resume building?

The placement team guided us in creating professional resumes. They provided templates, tips, and one-on-one guidance, which helped transform my basic resume into a polished version that effectively highlighted my skills and projects.

11. How many rounds of interviews did you face, and what were they like?

I went through two online rounds. The first focused primarily on technical skills like Python Programming , SQL, and backend development. The second round assessed interpersonal skills, scenario-based problem-solving, and technical knowledge in a practical context.

12. Did you attend any interview prep or soft skills sessions?

I didn’t attend dedicated soft skills sessions due to time constraints, but the mock interviews and mentor guidance indirectly helped me develop confidence and communication skills.

13. Was the placement team supportive during your job search?

Yes, the placement team provided weekly updates about opportunities, guided us through doubts regarding job descriptions, and ensured we were prepared for applications and interviews. Their constant support was a key factor in securing my role.

14. How did the internship help in your career?

The internship gave me hands-on exposure to real projects, collaborative teamwork, and organizational culture. It acted as a bridge between learning and full-time employment, enabling me to adapt quickly to professional requirements.

15. Any advice for aspiring data scientists and AI engineers?

Be persistent, practice continuously, and leverage mentors for guidance. Practical application of concepts through projects and internships is crucial. Mock interviews and resume building can significantly improve your chances in the competitive job market.

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Key Takeaways from Nakshatra’s Journey to Becoming an AI Engineer: Complete Insights

This session highlights Nakshatra’s journey from completing her B.Sc. in Computer Science to securing an AI/ML role, showcasing her learning, training, and interview experiences. It provides valuable insights into building practical skills, preparing for interviews, and transitioning into a professional AI/ML career.

• Nakshatra is from Tamil Nadu and holds a B.Sc. in Computer Science and Applications.
• She moved to Bangalore with friends for college placements.
• A mentor suggested courses in Data Science, AI, and Full Stack development, which inspired her career path.
• She enrolled in the DataMites Certified Data Science course to gain practical and analytical skills.
• Training included Python, Statistics, SQL, and Machine Learning algorithms, with mentor guidance throughout.
• Initially found Python and Statistics challenging, but improved through practice and support from teaching guides.
• She also trained in AI to expand career opportunities and transition toward AI engineer roles.
• Completed projects in teams with college friends, reinforcing learning through hands-on work.
• The placement team assisted with resume building, job opportunity updates, and mock interviews.
• Mock interviews helped her handle technical questions, programming tasks, and interview pressure.
• Appeared for two online interview rounds: technical round (Python, SQL, backend) and second round (technical, interpersonal, scenario-based questions).
• Currently working as an AI Engineer Intern at Horizon Broadband in Bangalore.
• An internship provides exposure to real-world projects, teamwork, and company culture.
• Persistent practice, mentor support, collaborative learning, and mock interviews were key to her success.

Refer to these articles:

• How Harsha Transitioned into an AI Product Manager Role? An Inspiring Success Story
• How to Switch from Graphic Designer to AI Developer - Sriram’s AI Career Success Story
• How Prathmesh Cracked His First AI Engineer Job as a Fresher from Nagpur

Nakshatra’s journey shows a strong technical foundation in B.Sc. Computer Science, combined with focused learning and hands-on practice, can help a fresher break into the competitive field of Artificial Intelligence. By leveraging structured mentorship, working on real-world projects, and consistently applying her Python, statistics, and machine learning skills, she successfully transitioned from a fresher to an industry-ready AI professional. Her story highlights how persistence, practical exposure, and the right guidance can empower fresh graduates to confidently launch their careers in Artificial Intelligence.

If you’re a fresher graduate in Chennai aspiring to start a career in Artificial Intelligence, Nakshatra’s journey offers a perfect roadmap. Coming from a B.Sc. in Computer Science and moving into AI with no prior work experience, she successfully transitioned from academics to an industry-ready AI professional. DataMites, a leading Artificial Intelligence Institute in Chennai, has three convenient centers across the city: Anna Nagar, Perungudi, and Guindy. These centers provide fresh graduates with mentor-led guidance, hands-on projects, and practical exposure, making it easier for learners from different parts of Chennai to gain the skills needed to confidently step into AI roles and build a promising career.

DataMites Training Institute offers an extensive 9-month Artificial Intelligence Course aimed at transforming learners into industry-ready professionals. The course curriculum includes Python programming, machine learning algorithms, neural networks, and popular frameworks like TensorFlow and Keras, while also providing practical experience with big data, cloud computing, and ethical AI practices. Accredited by IABAC and NASSCOM FutureSkills, the program combines flexible online and offline learning with hands-on projects, internships, and personalized career support, equipping learners with the skills and confidence to excel in today’s AI-driven job market.

If you’re a fresher or a professional from outside Chennai aiming to start your AI career, DataMites offers AI ML Training in Bangalore, Coimbatore, Ahmedabad, Delhi, Mumbai, Hyderabad, and Pune through its 30+ offline training centers across India. These centers provide hands-on projects, expert mentorship, and an industry-aligned curriculum, helping learners gain practical, job-ready AI skills close to home.