Adheeka's Journey: From Fresher to Successful Data Scientist

In today’s competitive job market, switching from a non-computer science background to a Data Science career may seem daunting — but Adheeka’s journey proves it’s possible. Coming from an Electronics Engineering background, he faced the same doubts many freshers have about entering AI and Data Science.

With determination and the guidance of DataMites Institute, Adheeka successfully transitioned his career, securing a Data Science internship at Sirpi. His story reflects the challenges many face, but also shows how focused preparation, hands-on projects, and expert mentorship can help anyone break into the field.

At DataMites, we are proud to witness such success stories unfold. If you’re wondering whether you can make a similar transition, watch DataMites success stories and see how learners from diverse backgrounds are breaking into Data Science, AI, and Machine Learning with our guidance. Adheeka’s journey is proof that with the right mindset and support, anything is possible.

Adheeka’s Data Science Journey with DataMites Institute

Discover how Adheeka transformed from a fresher to a Data Scientist through dedication, skill-building, and expert guidance from DataMites.

Q1: Can you start by telling our audience a bit about yourself?

I’m Adheeka, an Electronics and Communication Engineering graduate. I completed my B.Tech in January 2024 and joined DataMites Institute in April 2024. Recently, I cleared the interview for a Data Science Intern role at Sirpi. It’s been a great journey so far.

Q2: Why did you choose to shift to Data Science and AI instead of sticking to your core field?

During my engineering, we had an optional subject where I chose Python. That sparked my interest in coding and AI. Around my 5th semester, AI tools like ChatGPT were making waves, and I was fascinated by how AI was transforming industries. I wanted to contribute to this revolution, which led me to Data Science.

Q3: What were the crucial topics you focused on for your Data Science role?

The key areas were Python, Statistics, Machine Learning, AI concepts, and SQL. I believe having strong Python coding skills is vital because interviews always test that. Next is understanding the algorithms behind each model — statistics and the logic that drive these models.

Q4: Did you have prior programming experience before joining DataMites?

Yes, I had some Python and C++ exposure during my degree, but I wasn’t an expert. DataMites Institute helped me build those skills systematically. Transitioning from Electronics to Data Science wasn’t easy, but structured learning made it achievable.

Q5: Everyone talks about AI replacing jobs. As a Data Science enthusiast, what’s your take?

AI will certainly automate some jobs, but it will also create many new opportunities. We can’t resist technology; instead, we should evolve with it. Learning to work alongside AI is essential for career growth.

Q6: Many freshers ask us how important SQL is besides Python. What’s your opinion?

SQL is quite important. Most job postings mention it. You don’t need to master everything, but having medium-level SQL knowledge helps a lot, especially for data handling tasks.

Q7: Your resume can make or break your chances. How did you structure your resume to stand out?

Initially, my resume was very basic. But with DataMites PAT (Placement Assistance Team) guidance, I improved it significantly. The format included:

• Name and contact details
• Experiences
• Educational qualifications
• Projects with detailed bullet points including:
  • Project goals
  • Key outcomes
  • Challenges faced
  • How those challenges were overcome
  • Real-world applications of the projects
• Skills and tools
• Certifications

Mentioning how I tackled project challenges helped differentiate me from others.

Q8: Many wonder how much daily time commitment is needed for success. How did you manage your studies?

I didn’t have a fixed schedule, but on average, I spent 2-3 hours daily, excluding the 2-hour DataMites classes. Self-research, exploring AI tools, and practicing coding helped me a lot. Consistent self-study alongside classes is crucial.

Q9: How did projects help you during interviews?

Projects are essential. Interviewers always ask how you applied your knowledge. I included both my college projects and DataMites capstone projects in my resume. Explaining the project outcomes, use cases, and technical approach showed my practical understanding.

Q10: You opted for online classes. How was your experience?

The online mode was perfect for me. Although I stay in Bangalore, traveling to Electronic City wasn’t feasible. The online sessions were interactive, and I could clarify doubts easily. It gave me flexibility without compromising on quality.

Q11: Tell us about your interview challenges. Any memorable moments?

My first interview was tough. They asked me to build a chatbot from scratch, but I didn’t have my laptop, so I had to use theirs. That was tricky, but I managed to code something. Though I didn’t clear that interview, I learned a lot. Luckily, I cracked my second interview and secured the internship at Sirpi.

Q12: Apart from resume help, did the PAT team assist with interviews?

Yes, they provided mock interviews — I attended three of them — and shared materials for client interviews. Their support boosted my confidence and improved my performance.

Q13: How long did it take for you to complete the course and land your opportunity?

Six months — that included coursework, projects, capstones, and mock interviews. It was intensive but manageable.

Refer these articles:

• Ameya Diwate’s Successful Data Science Career Journey
• Career Shift to Data Science: Rakesh's Success Story
• How Farooq Transitioned from Mechanical to Data Science

Key Takeaways from Adheeka's Inspiring Journey to Data Science Success

Adheeka’s journey proves that with dedication, continuous learning, and the right guidance, even a fresher can break into the world of Data Science.

• Background Doesn't Limit You: Even with an Electronics degree, transitioning to Data Science is achievable with the right mindset and training.
• Core Skills are Critical: Python, Machine Learning, AI concepts, and SQL form the foundation of Data Science roles.
• Resume Strategy Matters: Highlighting real-world projects, challenges, and practical applications makes your resume stand out.
• Self-Learning is Non-Negotiable: Apart from classes, dedicating time for independent practice and research is essential.
• Projects Show Real Ability: Practical projects demonstrate your technical capabilities and application of theoretical knowledge.
• Interviews Test Problem-Solving: Companies look beyond bookish knowledge — building projects or solving tasks on the spot can be part of your interview.
• Mock Interviews Build Confidence: Simulating real interviews helps reduce anxiety and refine your responses.
• AI Creates More Than It Replaces: Embracing AI as an opportunity, not a threat, prepares you for sustainable career growth.
• Structured Learning Shortens the Journey: With commitment, landing a Data Science role in six months is possible, as Adheeka proved.

Adheeka’s journey proves that with determination, the right training, and an open mindset, success in data science is achievable — regardless of your background. Whether you're a fresher or considering a career shift, it's not where you start, but the path you choose and your persistence that define your success.

Refer these articles:

• How to Become a Data Scientist in Bangalore
• Data Science Course Fee in Bangalore
• Data Science Career Scope in Bangalore

Today, Data Science stands tall among the top IT Courses in Demand, creating exciting opportunities for individuals from all educational backgrounds. With industries embracing data-driven strategies, leading institutes like DataMites are helping thousands of aspirants, just like Adheeka, carve successful careers in the ever-growing tech sector.

If you’re inspired by Adheeka’s journey, now is the perfect time to upskill and enter the world of Data Science. According to Grand View Research, the global Data Science platform market was valued at USD 96.25 billion in 2023 and is projected to grow at a CAGR of 26.0% from 2024 to 2030. With industries generating vast amounts of data, skilled data professionals are in high demand, making this one of the IT Courses in Demand. Joining a trusted data science training institute in Bangalore, Pune, Chennai, Hyderabad, Mumbai, or Delhi can open doors to exciting opportunities in the tech industry.

For Adheeka, transitioning from an Electronics & Engineering background to a Data Science Intern at Sirpi, expert-led training was the turning point. Through DataMites structured programs in Data Science, AI, Machine Learning, Python, and Data Analytics, along with globally recognized certifications from IABAC and NASSCOM FutureSkills, Adheeka gained the skills and confidence to break into the tech industry.

DataMites Training Institute offers Data Science training in Bangalore, Chennai, Hyderabad, Pune, Coimbatore, Ahmedabad, and Mumbai, along with flexible online learning options. This makes quality education accessible to freshers, working professionals, and career changers just like Adheeka, unlocking endless possibilities in the booming world of technology.