From B.Tech Graduate to AI/ML Engineer: Shyama’s Inspiring Success Journey

Breaking into the world of Artificial Intelligence as a fresh B.Tech graduate may seem challenging, but Shyama from Bangalore proved it’s absolutely possible. With a strong interest in mathematics and problem-solving, she turned her curiosity into a growing career in AI/ML by following the right learning path, finding expert mentorship, and dedicating herself to mastering practical skills.

Shyama’s journey wasn’t easy. From grappling with machine learning algorithms and deep learning concepts to executing real-world AI projects, she overcame every hurdle with persistence and focus. The turning point came at DataMites, where hands-on projects, structured guidance, and interview preparation helped her transform knowledge into job-ready skills.

For any B.Tech graduate aiming for a career in AI/ML, Shyama’s story is a perfect example of how determination, consistent learning, and the right mentorship can turn ambition into achievement.

How Did Shyama Transition from a B.Tech Graduate to an AI/ML Engineer? (Complete Q&A)

Shyama’s journey from a B.Tech graduate to an AI/ML Engineer showcases how the right training, consistent practice, and hands-on project experience can transform career goals into reality. Her story is a roadmap for freshers aiming to enter the world of Artificial Intelligence.

Q1. Can you tell us about your journey before joining DataMites?

I completed my B.Tech in 2020 and initially prepared for bank exams. I was uncertain about my career direction until I discovered my strength in mathematics and my growing interest in AI and machine learning. That’s when I decided to explore Machine Learning and Data Science.

Q2. When did you join DataMites and which course did you take?

I joined DataMites in January 2025 and enrolled in the Artificial Intelligence (AI) course.

Q3. Were you an online or offline student?

I was an offline student and attended classes at the Bangalore office.

Q4. How was your experience learning Python?

I studied Python on my own and focused on deep learning concepts at DataMites. The daily 2-hour classes, supportive tutors, and hands-on projects made the learning process very effective, giving me a strong foundation to follow a Deep Learning Engineer Guide and advance in this field.

Q5. Did you have prior knowledge of AI/ML concepts before joining DataMites?

Yes, I had done another course before, but it didn’t lead to placement. I joined DataMites to upskill and strengthen my AI knowledge.

Q6. What was your experience learning deep learning concepts at DataMites?

Deep learning was very engaging. The tutor was helpful, and we focused on practical projects, daily revisions, and hands-on exercises, which made the learning experience productive.

Q7. How much time did you dedicate to study outside the class?

I spent around 3-4 hours daily revising Python, statistics, machine learning, and deep learning concepts.

Q8. Did you refer to any external resources?

Yes, I referred to YouTube tutorials, machine learning books, and structured resources from a Machine Learning Cluster at DataMites to supplement my learning. I prefer reading books as they provide structured knowledge along with hands-on exercises.

Q9. Can you share details about your projects and internship?

I worked on multiple projects, including:

• Traffic signal classification using CNN
• Dog breed classification
• Time series analysis
• Pneumonia chest X-ray classification using convolutional neural networks

The internship was project-based and very helpful for practical learning.

Q10. How was your mock interview experience at DataMites?

Mock interviews were invaluable. I practiced before facing the real interviews and received constructive feedback. Initially, I didn’t clear the first mock interview, but after improving on NLP concepts and transformers, I succeeded in the second attempt.

Q11. How many real interviews did you attend before getting placed?

I attended my first real interview in Bangalore and got placed at Digitus Business Solutions. It was an amazing start to my Artificial Intelligence career.

Q12. Can you describe the interview rounds?

There were four rounds:

• MCQs on Python, SQL, AI/ML concepts, and aptitude
• Coding round with data frames, preprocessing in data, hypothesis testing, and model training
• Online technical round discussing projects and models used
• Non-technical round focusing on project relevance and choice of models

Q13. Which skills were most important for your interviews?

Python Programming, SQL, statistics, and core ML & deep learning concepts were the most important skills for my interviews. Being clear on your projects and understanding why specific models were used is crucial.

Q14. Did DataMites provide placement support and resume guidance?

Yes, they helped with resume building, suggested improvements, and provided interview opportunities through placement assistance.

Q15. How did your internship and projects help in interviews?

Projects helped me gain practical knowledge, which was repeatedly discussed in interviews. Being able to explain what was used and why was essential.

Q16. How proficient does one need to be in Python to successfully clear AI/ML interviews?

Strong basics in Python are a must. Daily practice, understanding core logic, libraries like pandas, and object-oriented concepts (OOP) are helpful, though the focus depends on the company.

Q17. What type of aptitude questions were asked in the interview?

General aptitude questions on topics like distance, age, and reasoning were asked. These can be practiced through Google and YouTube resources.

Q18. What advice would you give to someone aiming for an AI/ML role?

Focus on basics first – Python, SQL, statistics, ML, and deep learning. Do hands-on projects, revise daily, and be clear about why you choose a specific model for your projects. Mock interviews and project clarity are key to success.

Refer to these articles:

• Reinforcement Learning: Basics and Applications
• What is the Difference Between AI Engineer and AI Expert Course?
• What is an AI Agent? Guide to Intelligent Agents in AI

Key Takeaways from Shyama’s AI Career Journey

Shyama’s transformation from a B.Tech graduate to an AI/ML Engineer shows how the right learning approach, practical exposure, and consistent effort can shape a successful tech career. Her journey proves that determination and guided mentorship can turn beginners into industry-ready AI professionals.

• B.Tech graduates can successfully transition into AI/ML careers, even without prior technical experience, if they follow a structured learning path.
• Shyama’s strong interest in math and problem-solving played an important role in helping her understand AI and machine learning concepts.
• Her journey involved overcoming challenges, including understanding Machine Learning algorithms, deep learning, and real-world project implementation.
• DataMites provided the turning point by offering hands-on training, practical exposure, and step-by-step mentorship.
• Real-world AI projects and internships helped Shyama gain confidence and build job-ready skills.
• Mentorship and guided learning were crucial in helping her move from theoretical knowledge to practical expertise.
• Interview preparation and career support at DataMites helped her secure a position as an AI/ML Engineer.
• Shyama’s success highlights that consistency, discipline, and the right guidance are key for any fresher aiming for a career in Artificial Intelligence.

Shyama’s journey proves that with the right training, dedication, and guidance, any fresher can build a successful career in Artificial Intelligence. Her story is a powerful reminder that consistent effort and practical learning can turn ambition into real achievement.

Refer to these articles:

• From Mechanical Engineer to AI Professional: Nagasai’s Inspiring Success Story
• How Abhishek Landed a Career as an AI/ML Engineer ?
• From Software Developer to AI Expert: Ashish Nayak’s Journey to Success

Shyama’s success story is a powerful example of how a fresh B.Tech graduate can build a rewarding career in Artificial Intelligence with the right mindset and guidance. Her journey, from navigating uncertainties to mastering Python, ML algorithms, deep learning, and real-world AI projects, shows that consistent effort, discipline, and clarity of purpose can transform anyone into an industry-ready professional. What truly set her apart was her dedication to learning and her willingness to improve after every challenge.

A major turning point in Shyama’s career came when she joined DataMites, a leading artificial intelligence training institute in Bangalore. With structured classes, hands-on projects, expert mentorship, and continuous revision support, she gained the confidence and practical exposure needed to crack technical interviews. The project-based internship, mock interviews, and placement assistance further helped her stand out, ultimately leading to her selection as an AI/ML Engineer. Her achievements highlight how the right training platform can accelerate a student’s path to success.

DataMites Training Institute provides the same transformative learning experience to thousands of aspiring AI professionals across India. The institute also offers comprehensive Artificial Intelligence Courses in Hyderabad, Coimbatore, Mumbai, Ahmedabad, Chennai, and Delhi, along with specialized programs in Machine Learning, Deep Learning, Data Analytics, Python, and other emerging technologies. With real-time projects, expert-led mentoring, strong placement support, and globally recognized certifications from IABAC and NASSCOM FutureSkills, DataMites equips learners with the skills and credibility needed to grow in today’s rapidly growing AI and ML industry.