From Fresher to AI/ML Engineer: Suchismita’s Inspiring Success Story

Wondering if starting a career in Artificial Intelligence is the right move as a fresher? Suchismita faced the same question, coming from a Physics background, and her journey shows it’s entirely possible with the right approach.

She decided to take action rather than hesitate. By enrolling in an offline Artificial Intelligence Course in Hyderabad at DataMites, she gained hands-on experience, worked on real-world projects, and received expert mentorship, which helped her build the skills needed to confidently enter the AI/ML field.

Curious how freshers can start strong in AI/ML? Suchismita’s story proves that with structured learning, practical projects, and consistent effort, anyone can build a career in Artificial Intelligence and Machine Learning, opening doors to future-ready opportunities.

How Suchismita Built Her Career as a Fresher in AI/ML with DataMites

Suchismita’s journey from a Physics graduate to a Fresher AI/ML Engineer highlights how structured learning, hands-on projects, and mentorship can pave the way in the Artificial Intelligence field. Here, you can find valuable insights from her experience for anyone aiming to start a successful career in Artificial Intelligence and Machine Learning.

1. Can you introduce yourself and your educational background?

I’m Suchismita, a 2023 physics graduate. After completing my degree, I enrolled in DataMites’ Data Science and AI course to gain skills in Python, Machine Learning, and Deep Learning, covering concepts from basics to advanced levels.

2. What inspired you to move from physics to Data Science and AI?

I first learned about AI and Data Science during my 12th grade. However, due to the COVID situation, I initially pursued physics. Later, my interest in applied technology and data-driven roles motivated me to transition into AI.

3. Why did you choose DataMites for your training?

I was looking for a structured program that offered both theoretical knowledge and practical exposure. DataMites provided an offline course in Hyderabad with dedicated mentorship and real-world projects, which fit my requirements perfectly.

4. What was the duration of your course, and what projects did you work on?

The AI course was completed by January, and I worked on a total of 10 projects, five in Data Science and five in AI, finishing by June-July. These included four capstone projects and one client-oriented project, which were crucial in preparing me for interviews.

5. How was your placement experience at DataMites?

I got placed at Ducima Analytics as an AI/ML Engineer after completing my DataMites AI course and projects. The mock interviews and project experience built my confidence, helping me answer technical and HR questions effectively during the three-round client interview.

6. How were your client interviews structured?

I attended three rounds: the first was HR and analytics, followed by two technical rounds. They asked detailed questions about my projects, the technologies I used, and the results achieved. They also explored trending AI topics like Narrow AI and MCP.

7. How did the mock interviews help you prepare for real interviews?

Initially, I struggled with nervousness, but after three to four mock interviews, I gained confidence. The sessions helped me answer technical questions effectively and improved my overall communication skills.

8. Can you explain your capstone project experience?

My final project involved building a chatboard using various Artificial Intelligence tools like LangChain. I chose and executed this project solo, experimenting with new technologies while consulting trainers whenever I faced difficulties.

9. How important was mentorship during your projects?

Mentorship was critical. Trainers were available to clarify doubts and guide me through complex problems, especially while handling client-based project requirements.

10. What qualities do companies expect from freshers in AI and Data Science roles?

Freshers are expected to know foundational concepts thoroughly. While they don’t require mastery in every technology, candidates should confidently answer questions and be proactive in learning new trends.

11. How do you stay updated with the latest AI technologies?

I regularly follow tutorials and resources on YouTube to learn new AI frameworks, APIs like Flask, FastAPI, and emerging techniques in machine learning and AI deployment.

12. Did the course focus on the deployment of AI models?

Yes, deployment is crucial. I learned to deploy models using Flask and FastAPI, which are widely used in the industry. This knowledge helps in presenting end-to-end solutions in real-world projects.

13. Can anyone transition into AI and Data Science?

Absolutely. Anyone can transition by focusing on fundamentals: Python, SQL, statistics, and data pre-processing. Practical experience through projects builds confidence and prepares you for industry roles.

14. Any advice for beginners starting in AI and Data Science?

Start with the basics, understand data, and focus on preprocessing steps. Build small projects gradually, experiment with models, and always stay updated with emerging technologies to remain industry-ready.

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Suchismita’s Journey into AI and ML: Key Insights with DataMites

Suchismita’s journey demonstrates how consistent practice, hands-on project experience, and expert mentorship helped her build a strong foundation in AI and Machine Learning, highlighting the importance of applied skills, project-based learning, and continuous learning for a successful career.

• Suchismita successfully transitioned from a Physics background to a career in AI and Machine Learning, showing that non-CS graduates can enter the field with structured learning.
• Early interest and self-research in AI/ML guided her career direction and helped her choose the right program.
• Daily, consistent practice in Python, Machine Learning, and Deep Learning was critical in building technical expertise.
• Hands-on projects, including multiple capstone and client-oriented projects, helped her understand real-world data problems and apply theoretical knowledge effectively.
• Working independently on projects boosted her confidence and prepared her for scenario-based technical interviews.
• Mentor guidance was essential in resolving doubts, learning advanced topics, and navigating complex AI/ML frameworks.
• Focused learning over 5 to 6 months, combined with consistent practice, was sufficient to become job-ready as a fresher.
• Interviews emphasized practical application of AI concepts, project outcomes, and deployment knowledge rather than purely theoretical questions.
• Deployment skills using Flask and FastAPI enhanced her ability to deliver end-to-end AI solutions and added value to her profile.
• Maintaining a clear project portfolio and active professional presence, such as on GitHub and LinkedIn, strengthened her credibility and visibility to recruiters.
• Continuous learning and staying up to date with emerging AI technologies such as LangChain, Narrow AI, and MCP ensured industry relevance and career growth.
• Referrals helped in getting interview opportunities, but her skills and project experience determined the final selection.
• Her journey shows that freshers can start a career in AI/ML without years of prior experience if they focus on discipline, practical projects, mentorship, and applied learning.

Refer to these articles:

• How Prathmesh Cracked His First AI Engineer Job as a Fresher from Nagpur
• From B.Tech Graduate to AI/ML Engineer: Shyama’s Inspiring Success Journey
• Aradhya’s Journey from B.Tech Computer Science Fresher to AI/ML Engineer

If you are a fresher or a recent graduate looking to start your career in AI or ML, Suchismita’s journey is a perfect example of what’s achievable with the right guidance. Like her, you can develop industry-ready AI/ML skills through hands-on projects, expert mentorship, and structured learning.

Suchismita took the offline Artificial Intelligence Training in Hyderabad at DataMites, which played a key role in her successful transition from a Physics graduate to a fresher AI/ML Engineer. The structured program combined theoretical learning with hands-on projects, guided mentorship, and exposure to industry-relevant tools like Python, Machine Learning, and deployment frameworks, equipping her with the skills and confidence needed to start a strong career in AI and ML

DataMites Training Institute offers a comprehensive 9-month Artificial Intelligence Course that equips learners with industry-ready skills through practical, hands-on learning. The program covers Python programming, machine learning algorithms, neural network design, TensorFlow, Keras, big data technologies, cloud platforms, and ethical AI practices. 

For those seeking a shorter, focused program, DataMites also provides a 5-month Machine Learning course. Learners gain recognized AI certifications accredited by IABAC and NASSCOM FutureSkills, which enhance professional credibility and open doors to promising career opportunities. With flexible online and offline training, real-world projects, internship opportunities, and dedicated placement support, DataMites ensures students are fully prepared to step confidently into the AI/ML industry.

For learners across India, DataMites offers its Artificial Intelligence Course in Pune, Hyderabad, Bangalore, Chennai, Coimbatore, Delhi, Ahmedabad, and Mumbai, along with 30+ offline centers nationwide. With an industry-aligned curriculum, hands-on projects, flexible online and offline learning modes, internship opportunities, and dedicated placement support, DataMites enables students, freshers, and working professionals to gain practical experience and build successful careers in Artificial Intelligence and Machine Learning.