From Roots in Biology to Rising in Data Analytics: Poojitha’s Journey

In today’s data-driven world, a career in data analytics is both rewarding and in high demand. But what does it take to transition into this field and thrive as a data analyst? In this exclusive alumni talk, we explore the inspiring journey of Poojitha, a DataMites alumni who carved her path from a biology background to becoming a successful Data Analyst. 

Her story is a testament to the power of determination, continuous learning, and the right guidance. For aspiring data professionals, Poojitha’s journey offers practical advice, valuable insights, and the motivation needed to pursue success in the field of data analytics.

From Biology to Data Analytics: Poojitha’s Success Story

Discover how Poojitha transitioned from a biology background to an emerging career as a Data Analyst, sharing valuable insights, challenges, and tips for aspiring professionals in the field.

Q1: Hi Poojitha! Can you tell us a little about your background and how you got into Data Science?

A: Sure! I come from a biology background in high school. While exploring unconventional options apart from engineering, a family friend introduced me to Data Science. I was intrigued and eventually pursued a Bachelor’s in Statistics and a Master’s in Data Science. During the COVID lockdown, I came across a webinar by Ashok Sir and learned about DataMites, which led me to enroll in their course.

Q2: Was it easy to pick up programming tools like Python and SQL, especially since you weren’t from a Computer Science background?

A: It was a challenge initially because I had no programming exposure. But DataMites Institute trained us from the basics, even starting with how to install the necessary software. Over time, I got the hang of Python and SQL.

Q3: What’s your typical day like as a Data Analyst?

A: My work revolves around gathering, preprocessing, and analyzing data. It’s exciting and hands-on. Once you understand the tools and concepts, it becomes a lot more manageable and even fun!

Q4: How was your interview experience for the Data Analyst role?

A: It was a smooth process with four rounds—technical, logical reasoning, and communication. They focused on basics in Python, SQL, and Statistics. Most SQL questions were use-case-based, and Python had a mix of basic and slightly advanced questions.

Q5: What part of the DataMites course did you enjoy the most?

A: I really enjoyed the data preprocessing module—it’s an essential and interesting part of the data analysis pipeline.

Q6: What advice would you give to freshers aspiring to become Data Analysts?

A: Stay open-minded and be ready to learn continuously. Don’t restrict yourself to just Python or SQL. Focus on mastering the basics across all domains—statistics, computer science, and math. Every interview evaluates your core understanding first.

Read the articles:

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• Amar Raja’s transition as a Financial Data Analyst at Zoho

Q7: Did you work on any extra projects or platforms apart from the DataMites assignments?

A: Yes, participating in online hackathons and using platforms with compilers was helpful. These platforms correct your mistakes and help build practical experience—even if you don’t win.

Q8: How did you manage your time between your Master’s and interview prep?

A: I would study for an hour after college focusing on basics. Recruiters mostly test your fundamental knowledge, so I prioritized that. Showing willingness to learn during interviews is also key.

Q9: How important is Statistics in a Data Analyst career?

A: It's crucial. Not all problems need machine learning—many can be solved through statistical techniques. If coding isn’t your strong suit, having statistical knowledge is a strong alternative.

Q10: And what about Python and SQL—how important are they?

A: Extremely important. Python and SQL are the backbone of data analysis tasks. They form the foundation of data extraction, transformation, and model building.

Key Takeaways from Poojitha’s Interview:

Here are the key insights from Poojitha’s interview, offering valuable lessons on transitioning into Data Analyst:

1. Non-CS Background is Not a Barrier – With the right guidance and determination, anyone can transition into Data Analytics.
2. Basics are the Backbone – Focus on the fundamentals of Python, SQL, and Statistics before diving into advanced topics.
3. Be a Continuous Learner – The field of Data Science evolves rapidly. Stay curious and keep learning.
4. Hands-On Practice Matters – Use online platforms and hackathons to improve coding and analytical skills.
5. Time Management is Crucial – Even with academic commitments, consistent learning for an hour daily can make a big difference.
6. Interview Prep Should Be Strategic – Emphasize logical reasoning, communication, and practical use cases in SQL and Python.
7. Statistics Has Real-World Relevance – Not all problems require machine learning; statistical analysis is equally valuable.
8. Stay Open to New Skills – Don’t box yourself into one tool or concept—be versatile in learning.

Poojitha's journey from a biology student to a successful Data Analyst shows that with dedication, the right training, and a growth mindset, anyone can get into data analytics. Her story inspires aspiring professionals to take that first step toward a rewarding data career.

Also refer to the articles:

• Data Science vs Data Analytics: Opportunities in Indore
• Data Science vs Data Analytics: The Best Path for Your Career in Chandigarh
• Data Analytics Course Fees in Amritsar

Enrolling in offline data analyst courses in Bangalore and other cities like, Chennai, Hyderabad, Pune, Ahmedabad, Coimbatore, Delhi, Jaipur, and Mumbai provides valuable industry exposure, networking opportunities, and enhanced job prospects, laying a solid foundation for careers in data analysis and software development.

At DataMites Institute, we go beyond being just a training center—we serve as your launchpad to a rewarding career in Data Science, Analytics, and AI. Our mission is to deliver top-quality education that equips individuals with the industry-relevant skills needed to succeed. Whether you're stepping into the data science field or aiming to advance your current expertise, DataMites provides in-depth, hands-on learning experiences tailored to your goals.

Our job-focused curriculum features live training sessions that blend theoretical knowledge with practical application. With the flexibility of online learning or the option for offline classroom training, you can choose the format that best suits your schedule and learning style.

What truly sets DataMites apart is our strong emphasis on mentorship from seasoned industry experts, along with opportunities to work on real-time projects and internships that enhance your portfolio and job readiness. All our courses are certified by IABAC and NASSCOM FutureSkills, ensuring globally recognized credentials.

DataMites offers comprehensive offline Data Analyst training in Chennai and other key cities across India, including Bangalore, Pune, Ahmedabad, Jaipur, Coimbatore, Delhi, and Mumbai—catering to learners from diverse backgrounds.

With DataMites, you're not just gaining knowledge—you’re preparing to excel in today’s fast-evolving tech landscape.