Transitioning into Data Science: Shubham’s Inspiring Journey

In today’s fast-evolving tech landscape, many professionals are choosing to pivot their careers towards data science — a field that continues to witness explosive growth across industries. One such inspiring journey is that of Shubham Kumar, who transitioned from being a Salesforce Developer to a Data Scientist with the help of DataMites. Shubham has been successfully placed as a Data Scientist at Canarys Automation!

In this candid conversation, Shubham shares his experience, challenges, and insights for aspiring data scientists. Whether you're a professional considering a career switch or a student exploring opportunities in data science, this blog offers valuable guidance straight from someone who’s recently walked the path. Watch the DataMites success story to learn how Shubham made his dream career a reality.

Shubham Kumar’s Journey into Data Science with DataMites

Shubham Kumar’s journey into data science with DataMites began with a passion for analytics and a drive to turn data into impactful insights.

Q1. Can you introduce yourself and your professional background?

I'm Shubham Kumar, currently working as a Data Scientist. Before this transition, I worked as a Salesforce Developer for two years and also spent six months as a Data Analyst. My curiosity about the field of data science led me to explore opportunities for career growth in this domain.

Q2. What made you decide to switch to data science?

During my role as a data analyst, I realized my interest in data-driven decision-making. I was always curious about data science and wanted to explore machine learning and AI, which led me to pursue a structured course.

Q3. Why did you choose DataMites for your training?

I compared several institutions, but a friend recommended DataMites because of their strong placement support. After attending a three-day webinar, I was impressed with the curriculum and instructors.

Q4. What was your learning experience like at DataMites?

The trainers were excellent. They explained each concept in depth. I was new to Python, but the way they covered libraries and data handling made it easy for me to grasp.

Q5. How was your learning experience at DataMites?

It was excellent. The faculty provided deep insights into Python, statistics, and machine learning. They explained every topic with clarity, and I appreciated the structured curriculum.

Q6. Were you new to programming before joining?

Not entirely. As a Salesforce developer, I had exposure to JavaScript and backend coding, which gave me a decent foundation before diving into Python and ML concepts.

Q7. What was your biggest challenge during the transition?

The most challenging part was grasping statistics. It plays a vital role in machine learning, and I had to go back to basics to fully understand its application in data science.

Q8. Did you take the course online or offline?

I chose the offline mode. It was helpful to interact face-to-face with instructors, especially when I needed clarity on complex topics.

Q9. How important were projects and internships in your learning?

Very important. We worked on capstone and live projects, which gave us hands-on experience. These projects were crucial for building our portfolios and confidence during interviews.

Q10. How was the team collaboration during these projects?

Our group had great synergy. We divided responsibilities, helped each other overcome challenges, and ensured every team member understood the full project scope.

Q11. Can you share how mock interviews at DataMites helped you?

The mock interviews were a game-changer. I failed twice before passing the third one. Each failure taught me what to improve. By the third round, I was confident and interview-ready.

Q12. Tell us about the actual interview process for your current role.

There were three rounds. The first was technical—questions on past projects and problem-solving approaches. The second was scenario-based. The third focused on my vision and passion for AI applications, especially in healthcare.

Q13. Did your DataMites training align with real-world interview questions?

Absolutely. Topics like machine learning models, problem-solving approaches, and domain-specific applications were covered in both training and the actual interviews.

Q14. Were you nervous during your first interviews?

Yes, very! My first client interview after mock rounds was overwhelming. But I learned from each one and refined my answers and mindset over time.

Q15. How did DataMites help with resume preparation?

They provided sample formats and guided revisions, especially for highlighting my capstone and live projects. This helped present my profile in a clear, professional manner.

Q16. Did you use any external resources to supplement your learning?

Yes, I followed YouTube channels like CampusX, and read blogs on LinkedIn. These resources gave practical insights and different perspectives.

Q17. What are your thoughts on continuous learning in data science?

Continuous learning is essential. Even my current employer encourages ongoing training. Technologies like NLP and AI are evolving, and staying updated is key.

Q18. Any advice for aspiring data scientists planning a career switch?

Take it seriously from day one. Understand every concept deeply—especially statistics and algorithms. Use mock interviews, live projects, and community resources to build confidence and knowledge.

Refer these articles:

• From Fresher to Data Scientist: Yamini's Career Transformation
• From Struggle to Success: Ajay Kumar’s Data Science Journey
• How Pratham Transitioned From ECE to a Data Science Role

Key Highlights from Shubham Kumar’s Career Transition

Here are some notable milestones and achievements from Shubham Kumar’s inspiring career transition:

• Shubham Kumar transitioned from a Salesforce Developer to a Data Scientist, leveraging his background in IT and analytics.
• He was successfully placed as a Data Scientist at Canarys Automation, a Bangalore-based company.
• His curiosity about AI and data-driven decision-making sparked his interest in pursuing a career in data science.
• Shubham selected DataMites based on recommendations and was impressed with their curriculum, trainers, and placement support.
• He opted for the offline course at the Bangalore center for more interactive and hands-on sessions with instructors.
• The course offered in-depth training in Python, statistics, and machine learning, which helped him build a solid foundation.
• He found statistics to be the most challenging part but recognized its crucial role in data science.
• Capstone and live projects provided practical experience, boosted his confidence, and enhanced his interview performance.
• Shubham failed twice in mock interviews but used the feedback constructively to succeed on the third attempt.
• The interview rounds focused on technical skills, real-world problem solving, and application of AI in industries like healthcare.
• DataMites’ training directly aligned with actual interview topics, including machine learning algorithms and scenario-based questions.
• The placement team provided templates and guidance to highlight his projects and skills professionally.
• He used additional resources like CampusX and Krish Naik on YouTube, and LinkedIn blogs to deepen his understanding.
• Shubham acknowledged the importance of staying updated with evolving tech trends like NLP and AI.
• He recommends taking the journey seriously from the start, focusing on conceptual clarity, and practicing with real projects.
• Shubham aims to specialize in healthcare analytics and contribute to meaningful, AI-driven innovations.
• His story exemplifies that with structured guidance, persistence, and a learning mindset, transitioning into data science is achievable.

Shubham Kumar’s journey shows how dedication, structured learning, and the right guidance can lead to a successful data science career. As one of the most popular IT courses today, data science is accessible to anyone—whether you're from a tech background or new to coding.

Refer these articles:

• Data Science Course Fee in Pune
• Why Data Scientist Career in Pune
• Why Data Scientist Career in Coimbatore
• Data Science Course Fees in Coimbatore

If you're considering following in Shubham's footsteps and transitioning into the field of data science, now is the perfect time to upskill. According to Precedence Research, the global data science platform market was valued at USD 150.73 billion in 2024, is expected to reach USD 175.15 billion in 2025, and is projected to exceed USD 676.51 billion by 2034, growing at a CAGR of 16.20%. With industries increasingly relying on data-driven insights, the demand for skilled data professionals continues to rise. Choosing a reliable training institute that offers practical projects, real-time experience, and placement support is essential for a successful career launch. Enrolling in top-rated data science courses in Pune, Bangalore, Chennai, Hyderabad, Mumbai, or Delhi can open doors to numerous tech opportunities.

For Shubham, who came from a non-tech background and had minimal exposure to core data science tools, structured training and guidance from industry experts proved transformational. Through in-depth learning in Data Science, Machine Learning, AI, Python, and Data Analytics — backed by prestigious certifications from IABAC and NASSCOM FutureSkills — he gained the skills and confidence needed to establish himself in the data science domain.

DataMites Institute offers data science training in Coimbatore, Bangalore, Chennai, Hyderabad, Pune, Ahmedabad, and Mumbai, with flexible online options available. This accessibility empowers freshers, working professionals, and career switchers alike — just as it did for Shubham.

Thinking of making your move into data science? Take inspiration from Shubham, and start your journey today with platforms like DataMites that combine expert training with real-world projects and strong placement support.