From Learning to Leading: Priyanka’s Take on AI-ML Trends and Careers

Artificial Intelligence and Machine Learning are no longer just buzzwords, they're shaping the very future of how we live, work, and connect. But what does it take to go from a curious learner to a confident leader in this rapidly evolving field? Meet Priyanka, a rising voice in the AI-ML space, who shares her journey, insights on the latest trends, and what it really means to build a career in this dynamic industry. Whether you're just starting out or looking to level up, her perspective offers a roadmap for anyone eager to ride the AI-ML wave into the future.

In this insightful Q&A, Priyanka opens up about her journey in AI and ML

In this insightful Q&A, Priyanka opens up about her journey in AI and ML from humble beginnings to impactful contributions in the field.

Q1: Can you introduce yourself and tell us about your background?

I’m Priyanka from Bangalore. I was working as a Senior Analyst. Although my previous role involved working with data, it wasn’t from a technical or coding perspective. I always had an interest in data science and wanted to make a career transition into this field.

Q2: What inspired you to switch your career to data science?

The curiosity started during my master’s in Digital Communication and Networking, where I worked on machine learning and deep learning projects. That academic exposure gave me a taste of what this field has to offer. I realized I needed to understand the technical depth of data science, which is when I decided to make the shift.

Q3: How did you begin your data science journey?

One of my friends introduced me to DataMites, where I enrolled in their blended learning program. My mentor, Warsha, played a huge role in motivating me. With her support and a well-structured learning path, I completed the Certified Data Scientist program and made a successful career transition into AI.

Q4: Was your previous experience relevant to data science?

It was data-related but from a functional viewpoint. I did some part-time integration work as well, but I lacked technical experience, especially in writing code. That was the biggest challenge I had to overcome.

Q5: How did you tackle the challenge of learning programming?

It was tough at first. In my master’s, I had worked a bit with Python but lacked hands-on coding skills. I started from scratch basic Python, then object-oriented programming (OOP), and slowly moved towards building models. I created a roadmap and dedicated time daily to practice coding, which helped boost my confidence.

Q6: How many interviews did you attend during your job search?

I appeared for 8 interviews in total. Out of those, I received 2 offers, and I finally accepted the one from Brillio. I chose Brillio because their projects aligned well with the skills I had learned, and I saw great potential for career growth there.

Q7: What is your current role and designation at Brillio?

I’ve joined Brillio as a Senior AI/ML Engineer. It’s a role that allows me to apply machine learning models to real-world business problems and continue growing in the field of artificial intelligence.

Q8: How did your training at DataMites help in your interviews and career transition?

I enrolled in the blended learning program offered by DataMites. The structured curriculum covered both machine learning theory and hands-on practice. After completing the certification, we were given four major projects to work on independently. That trial-and-error process helped me truly understand model building, data handling, and problem-solving in practical scenarios.

Q9: How many projects did you complete, and how did they help you?

In total, I completed four main projects, 14 mini-projects, and one major project. These covered a range of machine learning and deep learning use cases. The feedback provided by the DataMites team after each project helped me refine my work. In fact, three of my projects received excellent reviews, while one required improvements, which I gladly worked on and learned from.

Q10: Were all your interview opportunities provided through DataMites?

No, I applied for all the positions independently. I was just about to start working with the Placement Assistance Team (PAT) at DataMites when I received the offer from Brillio. I did inform them, and they were supportive of my decision. I believe it’s always good to be self-reliant, but it’s great to have PAT support when needed.

Q11: What’s one key preparation tip before appearing for interviews?

Always do your homework! Know about the company its culture, history, and current projects. Try to connect with someone working there. That gives you an edge and prepares you for role-specific discussions.

Q12: What helped you improve your resume and interview readiness?

The Placement Assistance Team (PAT) at DataMites was super helpful. They shared resume-building strategies, mock interviews, and job interview tips. But you must also be proactive and start early, keep updating your resume as you gain new skills.

Q13: What was the most surprising or unexpected thing you learned about AI/ML?

I was surprised by how extensive and technical the actual roadmap for an AIML career is. Coming from a data analytics background, I thought it would be an easy leap but a data scientist is expected to understand the entire pipeline from development to deployment.

Q14: Did you find deployment and MLops concepts important during interviews?

Yes, especially since I have 3 years of experience. While freshers may not need deep knowledge, understanding the ML lifecycle and MLops is critical for experienced roles. In interviews, I was asked about hands-on experience with deployment and MLops tools. Fortunately, my experience with cloud platforms helped me explain that part well.

Q15: What’s your final message to aspiring data scientists?

Believe in yourself and be consistent. Understand that transitioning to data science is not just about learning tools but grasping the underlying logic, especially mathematics and programming. It’s a continuous journey of growth. Stay curious and don’t give up!

Refer these below articles:

• Atasi Dalal’s Journey: From Fresher to Machine Learning Developer
• Sarvesh’s Transformation from Software Tester to AI/ML Engineer
• From Math Graduate to Machine Learning Developer: Ankita’s Inspiring Journey into AI

Key Takeaways from Priyanka’s Data Science Journey

Her journey offers valuable lessons for anyone aspiring to break into the field of data science.

• Career Shift Motivation: Priyanka transitioned from a Senior Analyst role to AI/ML after gaining academic exposure to machine learning during her master’s in Digital Communication and Networking.
• Non-Technical Background Challenge: Despite working with data, she lacked coding experience, which was her biggest hurdle in moving into a technical data science role.
• Structured Learning Approach: She joined DataMites' blended learning program, which provided her with a clear roadmap and support from her mentor, helping her build foundational skills.
• Programming Skills Development: She started from basic Python, learned object-oriented programming, and gradually moved toward model building through consistent daily practice.
• Independent Job Search: Priyanka attended 8 interviews and received 2 offers. She secured her job at Brillio independently before engaging with the placement team.

Read these below articles:

• Agentic AI vs Generative AI: What’s the Difference?
• How Do Big Data and AI Work Together?
• What is an AI Agent? Guide to Intelligent Agents in AI

Priyanka’s journey is a true inspiration for anyone looking to break into data science. Her transition from a non-coding analyst role to a senior AI professional proves that with the right mindset, structured learning, and dedication, anyone can succeed in this field. The global artificial intelligence market size was estimated at USD 279,220.1 million in 2024 and is projected to reach USD 1,811,747.3 million by 2030, growing at a CAGR of 35.9% from 2025 to 2030.(Grand View Research)

Hyderabad is home to numerous IT giants, research labs, and tech startups, making it a thriving ecosystem for AI innovation. Artificial Intelligence course in Hyderabad is designed to equip learners with both theoretical knowledge and practical skills in artificial intelligence. From the basics of machine learning to advanced topics like deep learning and natural language processing (NLP), a well-structured course covers it all.

DataMites Artificial Intelligence Institute in Hyderabad offers a comprehensive AI course with hands-on projects, expert mentorship, and strong placement support perfect for both freshers and professionals ready to upskill in the city’s thriving tech scene.