From Fresher to AI Developer: Shreya’s Inspiring Journey

Breaking into the world of Artificial Intelligence often feels like a dream reserved for seasoned tech professionals. But what if a fresher, with no prior industry experience, could rewrite that narrative? Meet Shreya, a young graduate who transformed her curiosity for technology into a thriving career as an AI Developer. Her journey is more than just a career transition, it's a story of persistence, upskilling, and the courage to chase opportunities in one of today’s most competitive fields. If you’ve ever wondered how to start from scratch and build a future in AI, Shreya’s story will inspire you to take that first bold step.

Q&A with Shreya: Her Journey from Beginner to AI Developer

Discover how Shreya transformed from a complete beginner into a skilled AI Developer through dedication, learning, and hands-on experience.

Q1: Can you share a quick introduction about yourself?

My name is Shreya, and I belong to Patna, Bihar. I completed my schooling in Patna and later pursued my B.Tech from Techno India University, Kolkata, graduating in June 2024 with a CGPA of 8.23. Initially, I was skeptical about my career direction, but with guidance from a mentor who was also a DataMites alumni, I decided to join the DataMites Data Science course in Bangalore in January 2024.

Q2: How was your overall experience with DataMites training?

It was a great learning experience. Offline classes made a huge difference as mentors guided us step by step. Coding was hands-on, and I made good friends and connections. It was my first time in Bangalore, and apart from learning, the exposure and environment added to my growth.

Q3: Where are you currently placed, and what is your role?

I got placed at Kingsman Realty, a real estate company that helps clients find suitable properties. My role is that of a Python and AI Developer, where I focus on building and deploying machine learning models, chatbots, and AI solutions.

Q4: What kind of interview questions were asked during your placement drive?

The placement process included 2–3 rounds with coding and technical assessments. Questions were based on Python, machine learning, deep learning, and project work. While the level of questions was moderate, the focus was primarily on implementation skills rather than just theoretical knowledge. They also asked me to write pseudocode and workflows for certain AI solutions.

Q5: How did DataMites help you with resume preparation and placements?

The placement assistance team at DataMites helped me a lot. I revised my resume 4–5 times under their guidance. They encouraged me to focus more on projects rather than unnecessary details like hobbies. Recruiters pay close attention to the projects you have completed and the technologies you worked on, so DataMites helped me structure my resume effectively.

Q6: What other support did you receive apart from resume and placements?

Apart from resume building and mock interviews, DataMites also provided hands-on projects, continuous mentor guidance, and peer learning opportunities. The trainers explained concepts clearly and focused on making sure our fundamentals were strong.

Q7: Can someone without a technical background succeed in data science?

Absolutely. Data science is more about skills and projects than your academic background. As I shared earlier, my mentor came from a non-technical field but secured a strong role in the industry after completing his data science training.

Q8: How much mathematics is required for machine learning interviews?

While most companies won’t ask you to derive formulas or solve complex calculus, you should still understand the mathematics behind algorithms for your own clarity.

Q9: How helpful are the interview preparation sessions conducted by DataMites?

These sessions go beyond the standard curriculum and help students stay updated with the latest industry requirements. For instance, I requested an RNN session, and they conducted it during the weekend. Such flexibility and practical training give an extra edge in interviews.

Q10: What advice do you have for beginners learning Python for data science?

Start with the basics of Python like printing prime numbers, factorials, and strings rather than rushing into advanced topics. Focus on understanding logic, not memorizing. Practice at least the top 50–100 coding problems to strengthen your fundamentals. Companies often ask questions from strings, lists, and basic data structures, so clarity in these areas is crucial.

Refer these below articles:

• From Learner to SQL Developer: Rakshitha’s Journey
• Shaping the Future with AI: Insights from Vamsi
• Lukmanul's Path in AI Engineering

Key Findings from Shreya’s Artificial Intelligence Journey

These key findings highlight the lessons, strategies, and insights from her path to success in the field of Artificial Intelligence.

Educational Background:

• Shreya completed his B.Tech in Electronics and Communication from Techno India University, Kolkata, with a CGPA of 8.23.
• Initial career uncertainty was resolved with guidance from a mentor and enrollment in a DataMites Data Science course.

Training Experience at DataMites:

• Offline classes provided hands-on coding experience and personal mentor guidance.
• Networking and peer learning contributed to overall growth and confidence.

Placement and Current Role:

• Placed at Kingsman Realty as a Python and AI Developer.
• Responsibilities include building and deploying machine learning models, chatbots, and AI solutions.

Interview Preparation:

• Placement drives included 2–3 rounds covering Python, machine learning, deep learning, and project explanations.
• Focus was on implementation skills, pseudocode, and workflow understanding rather than purely theoretical knowledge.

Resume and Placement Support:

• DataMites assisted with resume building, suggesting multiple revisions and emphasizing projects over hobbies.
• Structured guidance improved employer visibility and interview readiness.

Read these below articles:

• What is Simple Linear Regression
• Python Libraries for Machine Learning
• Artificial Intelligence and Neural Network

Shreya’s journey from a beginner to a successful AI Developer shows that with proper guidance, consistent practice, and a strong focus on fundamentals, anyone can excel in data science and artificial intelligence. Her experience emphasizes the value of hands-on learning, mentorship, and practical skills over just theoretical knowledge. According to ABI Research, the Artificial Intelligence (AI) software market was valued at US$122 billion in 2024 and is projected to grow at a 25% CAGR, reaching US$467 billion by 2030, reflecting the immense opportunities in the AI industry.

Artificial Intelligence is revolutionizing industries such as IT, healthcare, finance, education, transportation, and Hyderabad’s vibrant startup ecosystem. By enhancing operational efficiency, enabling smarter decision-making, and fostering innovation, Hyderabad is fast becoming a key AI hub in India. For students and professionals, enrolling in an Artificial Intelligence course in Hyderabad opens the door to exciting career opportunities in AI, machine learning, and data science.

DataMites is a leading training institute for Artificial Intelligence courses in Bangalore along with programs in Machine Learning, Data Science, and other high-demand technologies. Students benefit from globally recognized certifications accredited by IABAC and NASSCOM FutureSkills, as well as comprehensive career support, including resume assistance, mock interviews, and industry networking opportunities. With training centers in Kudlu Gate, BTM Layout, and Marathahalli, DataMites offers both online and classroom learning to accommodate different learning preferences.