Apoorva’s Journey from Fresher to Data Engineer

Apoorva started out fresh from college, unsure but hungry to learn. Today, she’s building data pipelines and solving real-world problems as a data engineer.

Prerana B A Prerana B A
Aug 7, 2025 Updated: Aug 7, 2025
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Apoorva’s Journey from Fresher to Data Engineer
Datamites Data Science Course Success story by Apoorva

In today’s fast-evolving tech landscape, data science and data engineering have emerged as some of the most rewarding and future-proof career paths. But for many aspiring professionals, the journey from learning to landing a job can seem daunting. To demystify this path, we sat down with Apurwa, a computer science graduate who recently transitioned into a Data Engineer role at BDB.ai after completing a certified data science course.

In this insightful Q&A, Apurwa shares her learning experience, challenges faced, and practical tips for aspiring data professionals. Whether you’re a student, a job seeker, or someone looking to upskill, her story is packed with actionable advice and inspiration. For more real-world journeys like hers, watch Datamites success stories and discover how others have turned their ambitions into achievements.

Apoorva’s Journey into Data Science with DataMites

From curious beginner to confident data scientist, here's how Apoorva made it happen with DataMites.

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

I’m Apoorva, a Computer Science Engineering graduate. After my graduation, I wanted to specialize in data, so I enrolled in the Certified Data Scientist course at DataMites, Bangalore in December 2023. I developed strong skills in Python, Machine Learning, Statistics, and SQL through the program and am now working as a Data Engineer at BDB.ai.

Q2: What motivated you to pursue a career in data science and data engineering?

I’ve always been interested in data-related fields. That curiosity and passion for working with data motivated me to join the DataMites Certified Data Scientist program.

Q3: Did you take the course online or offline?

I attended the offline classroom sessions in Bangalore. Being physically present helped me stay focused and collaborate more closely with peers.

Q4: What were the most challenging subjects, and how did you overcome them?

Coming from a CS background, Python and SQL were relatively easy. I found Machine Learning and Statistics more challenging. To overcome this, I studied consistently, revised the basics often, and discussed doubts with my peers and mentors.

Q5: How much time did you dedicate to studying daily?

I spent about 1 hour daily after classes to revise and practice. Additionally, I engaged in discussions with friends at the institute, which helped reinforce my understanding.

Q6: What was your experience with projects and internships during the course?

I worked in a group of three on four capstone projects. These helped us apply theoretical knowledge to real-world problems. My client project was focused on Sales Effectiveness, where we worked on lead scoring.

Q7: When did you start preparing for interviews and how did you perform in mock interviews?

After completing the projects, I gave a mock interview and cleared it on the first attempt. I then began applying for roles, focusing specifically on Bangalore-based companies.

Q8: How many job interviews did you attend, and what did you learn from them?

I attended three interviews before securing my current job. My first interview was a learning experience because I wasn’t fully prepared. Each interview taught me something new, especially where I needed to improve in statistics and machine learning.

Q9: What kind of questions were asked in your final successful interview?

The interview had one round where I was asked about SQL basics, Python coding, and some data analytics concepts. It was more technical and project-oriented.

Q10: Who were your mentors at DataMites, and how did they help?

My mentors were Kalpana Ma'am, Shruti Ma'am, and Seema Ma'am. They taught Python, statistics, and machine learning, and also helped during doubt-clearing sessions.

Q11: Was becoming a Data Engineer your first choice?

Actually, I was aiming for a Data Scientist role but accepted the Data Engineer position at BDB.ai. I see it as a great starting point and a stepping stone toward my long-term goals.

Q12: What advice do you have for aspiring data professionals?

Stay consistent. Keep revising the basics, work on projects, and don’t hesitate to ask questions. Discussing concepts with peers helps solidify understanding.

Q13: How did the placement team support you in your job search?

The DataMites placement team helped me build my resume and provided a standard format to follow. I applied through their support for Bangalore-based roles and attended interviews facilitated by them.

Q14: Did you try applying to companies outside of the placement support system?

Yes, I tried platforms like LinkedIn but didn’t receive much response. Most of my interview opportunities came through DataMites.

Q15: What is your current experience working at BDB.ai?

It’s going well. I’m currently in the training phase and learning a lot. The environment is supportive, and I'm excited about what lies ahead.

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Key Highlights from Apoorva’s Data Science Career Shift

Apoorva’s journey shows how focused learning, real projects, and consistent effort can turn interest into a data science career.

  • Apoorva is a Computer Science graduate who joined the Certified Data Scientist course at DataMites, Bangalore to specialize in data roles.
  • She was drawn to data science out of genuine interest and decided to get formal training to break into the field.
  • She chose offline classroom sessions, which helped her stay engaged and collaborate better with peers.
  • The course helped her build skills in Python, SQL, Statistics, and Machine Learning.
  • Machine Learning and Statistics were the toughest for her. She overcame the challenge by revising often and discussing doubts with mentors and classmates.
  • She studied about an hour a day outside of class to reinforce concepts.
  • She worked on four capstone projects, including one real-world client project on lead scoring for sales effectiveness.
  • She began interview prep after finishing her projects and passed her first mock interview.
  • She went through three interviews before landing her current role, learning something new from each one ,  especially where she needed to improve.
  • In the final successful interview, questions focused on SQL, Python coding, and applied analytics from her projects.
  • Her mentors played a major role in helping her grasp complex topics and clear doubts.
  • Though she originally aimed for a Data Scientist role, she accepted a Data Engineer position at BDB.ai to gain experience and grow into her long-term goals.
  • Her advice to others: stay consistent, build a solid foundation, work on real projects, and discuss concepts openly.
  • The placement team at DataMites helped her prepare a strong resume and connected her with relevant job opportunities.
  • She also applied on platforms like LinkedIn but got better responses through the institute’s placement support.
  • She’s now in the training phase at BDB.ai and is optimistic about the supportive environment and future learning.

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Apoorva’s story is a testament to focused effort, strategic learning, and making the most of available resources. For anyone considering a career in data science or data engineering, her advice to focus on fundamentals, practice consistently, and leverage peer and mentor support is invaluable.

If Apoorva’s story resonates with you, there’s no better time to build a career in Data Science—one of the most in-demand fields in tech. 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% through 2030, according to Grand View Research. As industries increasingly rely on data to make smarter decisions, the demand for skilled professionals keeps rising. Enrolling in a top-rated offline data science course in Chennai, Bangalore, Hyderabad, Pune, Mumbai, or Delhi can open up serious career opportunities and help you stay ahead in a fast-growing field.

With a background in Computer Science, Apoorva decided to shift gears and specialize in data roles. She joined the Certified Data Scientist course at DataMites in Bangalore, where she built hands-on expertise in Python, SQL, Statistics, Machine Learning, and Data Analytics. Through consistent study, offline classroom learning, and capstone projects, including a real-world lead scoring project, she gained the skills and confidence to step into the industry. Her training was backed by globally recognized certifications from IABAC and NASSCOM FutureSkills.

Today, Apoorva is working as a Data Engineer at BDB.ai. While her initial goal was a Data Scientist role, she chose a path that would give her practical experience and long-term growth. Her success reflects the clarity of her approach, the mentorship she received, and the career support from DataMites.

Whether you're just starting out or planning a career switch, DataMites offers flexible online, offline, and blended Data Science training institute in Bangalore, Chennai, Hyderabad, Pune, Coimbatore, Ahmedabad, and Mumbai. Join thousands of learners who are stepping into the future with skills that matter.

If you are based in Karnataka and want to follow a similar path, enrolling in a Data Engineer Course in Bangalore can provide you with in-depth technical training, practical projects, and industry mentorship to kickstart your career.

For learners in Tamil Nadu, a Data Engineer Course in Chennai offers the same high-quality curriculum and career support, helping you develop the skills needed to excel in the rapidly growing data engineering field.