Gayathri Career Shift from Commerce Graduate to Data Analyst

Gayathri's transformation from a commerce graduate to a skilled data analyst. Her journey reflects the power of perseverance, structured learning, and expert mentorship. Through DataMites comprehensive training and internship support, she successfully transitioned into the field of data analytics, overcoming initial hurdles in programming and technology.

From Commerce Graduate to Analyst: Gayathri's Career Path

Gayathri’s transition from a commerce graduate to a successful data analyst reflects the power of determination and the rising relevance of IT courses in demand across today’s job market.

Q1: Can you share your background before joining DataMites?

A: I graduated in 2018 with a commerce background and worked as a Fraud Prevention Analyst. My role involved zero coding, and I realized it was the right time to upskill and explore data analytics.

Q2: Why did you choose DataMites, and how was your learning experience?

A: I joined DataMites in December 2023. Though SQL and Python were new to me, the trainers explained everything from scratch, which helped me gradually build technical confidence.

Q3: Was the course flexible for working professionals?

A: Yes, I opted for the online program. The recorded sessions allowed me to manage work while studying. The flexibility really helped.

Q4: What tools and technologies did you learn during the course?

A: I learned Power BI, Tableau, Advanced Excel, SQL, and Python. These tools were new to me, but the structured curriculum and internship helped build my hands-on experience.

Refer to the articles below:

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Q5: What kind of projects did you work on during your internship?

A: My internship with Rubix lasted six months. I worked on four projects including customer segmentation. While the first project was team-based, I handled the remaining three solo.

Q6: How did you approach learning programming coming from a non-tech background?

A: It was tough at first, but I practiced daily using resources like ChatGPT, SQL, and HackerRank. My advice: Practice practically and complete all topics provided by DataMites.

Q7: How did the mock interviews and PAT team help?

A: I took three mock interviews. Though I didn’t clear the first, each helped me improve. The PAT team supported me through resume building, interview preparation, and resolving doubts even after training.

Q8: What were the actual interviews like?

A: My first round was telephonic with questions about projects, and charts. The second was a face-to-face session with hands-on Power BI work. Real interview questions mirrored the mock sessions.

Q9: What are your future goals in data analytics?

A: I'm actively applying for data analyst roles and plan to pursue an MBA focused on Business Intelligence or Data Science.

Key Takeaways from Gayathri's Journey

Gayathri’s inspiring transformation into a data analyst stands as a remarkable DataMites success story, demonstrating how structured training and perseverance can open doors to a thriving analytics career.

1. Consistent Effort Enables Career Transitions: Gayathri’s story shows that shifting careers—especially into data analytics—is achievable through consistent learning and dedication, regardless of prior experience.

2. Programming is Learnable with Daily Practice: Coming from a non-tech background, she proved that coding skills, like Python and SQL, can be mastered through regular practice and determination.

3. Real-World Projects Build Confidence: Hands-on experience through real-world projects and internships played a vital role in enhancing her problem-solving skills and preparing her for job interviews.

4. Mentorship and Mock Interviews Make a Difference: Guidance from mentors and participation in mock interviews helped her improve communication, handle interview pressure, and present herself with confidence.

5. Resume Building with ATS Optimization is Crucial: Crafting a professional, ATS-friendly resume significantly improved her chances of getting shortlisted for job interviews in competitive roles.

6. Mastering Multiple Tools Increases Employability: Gayathri’s versatility in tools like Power BI, SQL, Python, and Excel made her suitable for a variety of roles in data analysis and boosted her profile’s value in the job market.

Gayathri’s journey from commerce to analytics proves that with the right mindset, structured learning, and consistent practice, anyone can transition into tech. According to the IMARC Group, India’s data analytics market, valued at USD 2.6 billion in 2024, is projected to grow significantly, reaching USD 27.0 billion by 2033 at a strong CAGR of 27.46%.

Refer to the articles below:

• Data Analyst Course Fee in Hyderabad
• Data Analyst Course Fee in Pune
• How much will be the Data Analytics Course Fees in Mumbai

Enrolling in a Data Analyst course in Hyderabad—alongside other growing tech hubs like Bangalore, Chennai, Coimbatore, Ahmedabad, Delhi, Chandigarh, Jaipur, Mumbai, Pune, and Kochi—provides aspiring professionals with valuable industry exposure, strong networking opportunities, and accelerated career growth in data analytics and software development.

DataMites Institute is a leading provider of professional training in Data Science, Artificial Intelligence, Machine Learning, Python Programming, Data Analyst courses with internships, Data Engineering, and IoT. With a focus on practical, hands-on learning, DataMites empowers students with real-world projects, internship opportunities, and placement support. Globally recognized certifications from IABAC and NASSCOM FutureSkills further boost learners’ credibility and employability in the competitive tech landscape.

The specialized Data Analyst course in Pune by DataMites is tailored to meet the demands of the evolving analytics industry. With additional centers in cities like Bangalore, Chennai, Hyderabad, Coimbatore, Delhi, Chandigarh, Jaipur, Mumbai, Ahmedabad, and Kochi, DataMites ensures accessible, industry-aligned education for future-ready data professionals across India.