How Prathmesh Cracked His First AI Engineer Job as a Fresher from Nagpur

Have you ever wondered how a fresher with no tech background can land their first AI Engineer job in today’s competitive market? Meet Prathmesh from Nagpur, who turned his curiosity about Artificial Intelligence into a growing career, all by taking the right steps, finding the right mentorship, and never giving up on his dream.

His journey wasn’t easy. From struggling to grasp machine learning and neural networks to mastering real-world AI projects, Prathmesh proved that passion and perseverance can beat any limitation. And the turning point? A structured, hands-on learning experience at DataMites, where he discovered how to turn knowledge into job-ready skills.

If you’re someone dreaming of becoming an AI Engineer as a fresher, Prathmesh’s story will show you exactly how to make it happen, from zero experience to a successful AI career. Let’s see how his dedication and the right guidance helped him turn ambition into achievement.

How Prathmesh Launched His AI Career with DataMites

Prathmesh’s journey from a computer science graduate in Nagpur to an AI Engineer in Bangalore showcases the power of focused learning and mentorship. Through DataMites’ structured training and hands-on experience, he successfully transformed his passion for AI into a rewarding professional career.

Q1: Can you introduce yourself and share your educational background?

Hi everyone, I’m Prathmesh Jawale from Nagpur, Maharashtra. I completed my graduation in Computer Science Engineering in 2023. After my degree, I joined DataMites in February 2024 for their Certified Data Scientist (CDS) program, which lasted around 4 to 5 months. During the course, I learned essential technologies like Python, SQL, Machine Learning, Deep Learning, and Statistics.

Q2: What motivated you to pursue a career in Data Science and AI?

During the lockdown, I started exploring trending technologies. That’s when I got interested in Python programming and later discovered Data Science. I attended a short boot camp in my first year of college, which introduced me to AI and predictive analytics. The idea that machines could learn from data fascinated me, and that curiosity led me to join DataMites.

Q3: How did you come across DataMites and what made you choose it?

A friend recommended DataMites, explaining how the institute’s industry-recognized certification and practical training helped him gain hands-on experience. I was particularly attracted to the structured learning modules and placement assistance that DataMites offers.

Q4: What topics did you learn during the DataMites Certified Data Scientist program?

The program covered a wide range of topics including Python, SQL, Statistics, Machine Learning, Deep Learning, and Data Visualization. We also worked on multiple projects that provided real-world exposure to data-related challenges.

Q5: Tell us about your internship experience after completing the course.

After finishing the program, I joined Robix as a Data Science Consultant Intern. There, I worked on various projects related to data analysis, model building, and performance optimization. This internship helped me apply the theoretical concepts I learned into practical solutions.

Q6: How did DataMites support you in the placement process?

DataMites provided mock interviews, resume-building sessions, and interview preparation workshops through their Placement Assistance Team (PAT). They also gave valuable feedback after each mock interview, which helped me improve significantly.

Q7: How many interviews did you attend before landing your first job?

I attended three interviews in total. The third one was with Simpel Techlabs, where I got selected as an AI Engineer. The first two were for data science roles, but the third offered a unique opportunity to explore AI-based projects.

Q8: Can you describe the interview rounds you faced?

The interview had two rounds, a technical round followed by an HR discussion. The technical round focused on Python, SQL, Machine Learning algorithms, and my project work. The HR round was about communication skills and understanding my motivation.

Q9: What kind of projects did you work on during your course?

One of my key projects was Rice Leaf Disease Prediction, where we used Convolutional Neural Networks (CNNs) to predict whether a rice leaf was infected or healthy. AI Projects like these, based on deep learning and NLP, are highly relevant in current industry scenarios.

Q10: How would you describe your experience with DataMites trainers and mentors?

It was an excellent experience! The instructors were knowledgeable and approachable. Special thanks to Mr. Ashok Sir for Python and Lakshmi Ma’am for Machine Learning, they explained even complex concepts in a simple and engaging manner. The learning environment was interactive and supportive.

Q11: How did you prepare for your mock interviews and final interviews?

I prepared by revising core topics, discussing problems with peers, and solving Python coding exercises. I also practiced explaining my projects clearly and logically. The mock interviews helped me identify my weak areas and refine my responses.

Q12: What are some important skills for cracking a Data Science or AI interview?

Clear communication, strong Python programming skills, and a solid understanding of Machine Learning and Statistics are crucial. Candidates should be confident in explaining their projects and have hands-on experience with model-building and data handling.

Q13: What was your overall training experience like at DataMites?

It was one of the best learning experiences I’ve had. The curriculum was well-structured, and the trainers made complex topics easy to grasp. The environment encouraged discussion-based learning, and we had regular assignments, case studies, and live sessions that kept us engaged.

Q14: What advice would you give to freshers aspiring to build a career in Data Science?

Don’t give up easily. Keep learning and exploring. Even if opportunities take time, use that period to strengthen your Python, SQL, and Machine Learning foundations. Investing your time in learning now will benefit you for years to come.

Q15: How does it feel to start your first job as an AI Engineer in Bangalore?

It feels amazing! Moving to Bangalore has been a big change, but it’s exciting to work in India’s leading tech hub. I’m learning new things every day and applying the knowledge I gained from DataMites to real-world challenges.

Q16: What is your key takeaway from this entire journey?

My biggest takeaway is that consistent learning and patience always pay off. With the right guidance and effort, transitioning from a fresher to an AI professional is achievable. I’m grateful to DataMites for being a vital part of this journey.

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Prathmesh’s Key Takeaways on Starting a Career in AI

His journey reflects the importance of practical learning, expert guidance, and consistent effort in building a successful career in Artificial Intelligence.

• Background – Prathmesh Zaw hails from Nagpur, Maharashtra, and holds a degree in Computer Science Engineering.
• Career Transition – He aspired to build a career in the growing fields of data science and artificial intelligence (AI).
• Training Choice – He enrolled in the Certified Data Scientist (CDS) program at DataMites in 2024 to gain structured, practical knowledge.
• Learning Focus – The course emphasized key areas such as Python, data science, and machine learning, providing a strong technical foundation.
• Mentorship Impact – Expert trainers and mentors at DataMites guided him through real-world applications and hands-on projects.
• Practical Exposure – The training included internship experience and project-based learning, which helped bridge the gap between theory and practice.
• Skill Development – He developed essential technical and analytical skills that are crucial for roles in AI and data science.
• Career Breakthrough – Prathmesh secured his first professional role as an AI Engineer at Simple Tech Lab, Bangalore.
• Role Nature – His position involves applying machine learning models and AI algorithms to solve business problems.
• City Relocation – Moving from Nagpur to Bangalore gave him access to wider AI career opportunities.
• Program Value – The DataMites CDS program offered comprehensive training, placement guidance, and industry exposure.
• Certifications – The program’s IABAC and NASSCOM FutureSkills certifications added credibility to his professional profile.
• Challenges Faced – He initially faced difficulties with complex AI concepts but overcame them through consistent practice and mentor support.
• Career Confidence – The course helped him gain confidence to handle real-world AI tasks and interviews effectively.
• Advice for Learners – Prathmesh advises future aspirants to stay consistent, practice regularly, and focus on hands-on learning.
• Outcome Summary – His journey highlights how structured learning, mentorship, and persistence can lead to a successful AI career.

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Prathmesh took the Artificial Intelligence Course in Nagpur to gain a strong foundation in AI concepts, programming, and algorithmic problem-solving. The course provided him with hands-on projects, exposure to Python, machine learning, and deep learning, and guidance on industry-relevant applications. This immersive training helped him build practical skills, gain confidence, and prepare effectively for AI roles, laying the groundwork for a successful career in the rapidly evolving field of Artificial Intelligence.

Prathmesh’s journey demonstrates that building a successful career in Artificial Intelligence requires mastering programming, logical thinking, algorithmic concepts, and hands-on projects. For aspiring professionals, understanding AI applications and problem-solving skills is just as crucial as coding expertise. With consistent practice and the right guidance, enrolling in an Artificial Intelligence Course in Nagpur can set the foundation for a thriving AI career. According to MarketsandMarkets, the generative AI market is expected to grow from USD 71.36 billion in 2025 to USD 890.59 billion by 2032, reflecting a CAGR of 43.4% during the forecast period.

DataMites offers comprehensive Artificial Intelligence Courses in Bangalore, Mumbai, Chennai, Coimbatore, and Hyderabad, providing learners with in-depth training in AI, Machine Learning, Deep Learning, Data Analytics, Python programming, and other emerging technologies. The institute focuses on hands-on learning through real-world projects, guided by expert mentors, and reinforced with strong placement support, making it an ideal choice for students and professionals aiming to excel in India’s AI industry. Upon completion, participants receive globally recognized certifications from organizations like IABAC and NASSCOM FutureSkills, enhancing their professional credibility and opening doors to advanced career opportunities in the rapidly expanding AI and ML sector.