Impana’s Journey from Fresher to Data Analyst

As organizations seek data-driven insights, career opportunities for skilled analysts have never been brighter. In this landscape, Impana, a recent Computer Science graduate, secured a role as a Data Automation Analyst at Simpal, Bangalore, with a package of ₹7 LPA—on her very first interview. Here’s how she achieved this impressive feat.

From Graduate to Data Automation Analyst: Impana’s Journey at Simpal

Impana’s inspiring journey from a curious learner to a successful data analyst shows how dedication, expert guidance, and choosing the best IT courses can unlock high-growth career opportunities in today’s dynamic tech landscape.

Q1: Please introduce yourself and tell us about your new role.

Impana: I’m Impana, a Computer Science graduate from 2024. I’m currently working as a Data Automation Analyst at Simpal, Bangalore, with a starting salary of ₹7 LPA. This is my first job, and I’m excited about the opportunity to apply what I’ve learned in a real-time work environment.

Q2: How did you become interested in Data Science and choose this field?

Impana: During my B.E., I was exposed to Artificial Intelligence and Machine Learning, which sparked my curiosity. I realized that understanding data was becoming increasingly important, so I decided to pursue data science seriously. My cousin recommended DataMites after a great experience, and the positive Google reviews confirmed my choice.

Q3: How was your learning journey at DataMites?

Impana: The journey was very structured. I found Python and machine learning topics manageable because I had prior exposure, but statistics was challenging initially. I tackled this by taking regular notes, revisiting LMS videos, and supplementing with external resources like ChatGPT. The weekend class format was perfect for me.

Q4: Could you explain your experience during phase 2 and 3 of the course?

Impana: In Phase 3, we were part of a virtual internship team. I collaborated with three others on projects like flight price prediction. I focused on tasks like data visualization and cleaning, and it was satisfying to see how we divided responsibilities and delivered quality results in a short time.

Q5: What was your interview and placement experience like?

Impana: This was my first job interview and I got selected! The process had 5 rounds:

1. First, a technical interview on automation and ETL tools.
2. Second, a Python and OOPs coding round.
3. Third, SQL queries and logic building.
4. Fourth, a deep ML theory round, where they asked about decision trees, SVM, etc., and I shared my experience on the flight price prediction project.
5. Fifth, an HR + CEO round, which was more of a culture fit and goal alignment discussion.

I had practiced with DataMites mock interviews twice and tailored my resume as advised. Those preparations helped immensely.

Refer to the articles below:

• Vishal’s Inspiring Career Shift into IT as Data Analyst
• Gokulnath’s Inspiring Journey as Data Analyst
• Sherin Shana's Inspiring Journey as Data Analyst

Q6: How did you handle the project-related discussions during your interview?

Impana: I discussed our flight price prediction project in detail. I explained how I used XGBoost with hyperparameter tuning to achieve around 90% accuracy. I walked them through my approach to EDA, model building, and evaluation—all things we did hands-on during the internship.

Q7: What skills and qualities do you think helped you succeed?

Impana: Strong fundamentals in Python, statistics, and machine learning made a huge difference. Interviewers appreciated my conceptual clarity. I also believe being honest during interviews worked in my favor—if I didn’t know something, I said so, but also shared how I would approach learning it.

Q8: What advice would you give to other freshers aiming for a career in data analytics?

Impana: Focus on building a strong base in core subjects. Don’t chase trendy tools without understanding the fundamentals. Work on real-world projects, revise regularly, and make use of online tools and mock interviews. Keep learning, stay curious, and trust the process.

Key Findings from Impana’s Journey:

Here are the key takeaways from Impana’s inspiring journey to becoming a data analyst, highlighting the strategies, skills, and support that led to her successful placement. DataMites success stories showcase how structured training, real-world projects, and expert mentorship help learners from diverse backgrounds thrive in analytics.

1. Strong Fundamentals Are Essential: A clear understanding of Python, statistics, and ML principles was central to Impana’s selection—more so than advanced topics or certifications.
2. Real-World Projects Provide the Edge: Discussing a team-based ML project helped her stand out in interviews, especially when explaining model performance metrics and decisions.
3. Strategic Interview Preparation Matters: Mock interviews, company-specific research, and a polished resume crafted with DataMites’ help ensured she was ready from round one.
4. Honest Communication Wins Trust: Being upfront during interviews about what she did and didn’t know added credibility to her confidence and clarity.
5. Collaborative Learning Builds Confidence: Her virtual internship, with distributed roles and deadlines, prepared her for the collaborative nature of real-world data jobs.
6. Blended Learning Is Powerful: Leveraging LMS videos, instructor feedback, external resources, and AI tools like ChatGPT enabled Impana to master challenging topics.
7. One Interview, One Offer—Preparation Pays: Her successful placement in her first interview highlights how the right combination of skills, training, and confidence can make an immediate impact.

Impana’s journey from a computer science graduate to a successful data automation analyst at a good package exemplifies a true success story built on structured training, hands-on project experience, expert mentorship, and dedicated placement support for aspiring professionals. Moreover, India’s data analytics market is projected to reach USD 345.30 billion by 2030 (Source: Mordor Intelligence Report).

Refer to the articles below:

• Data Analyst Course Fee in Bangalore
• Data Analyst Course Fee in Pune
• How Much is the Data Analytics Course Fee in Ahmedabad

Enrolling in Data Analyst course in Bangalore and other emerging tech cities like Chennai, Coimbatore, Hyderabad, Ahmedabad, Delhi, Chandigarh, Jaipur, Mumbai, Pune, and Kochi. The course offers a robust platform for hands-on industry exposure, meaningful networking, and accelerated career advancement in data analytics and software development.

DataMites Institute stands out as a premier provider of professional training in Data Science Course, Artificial Intelligence, Machine Learning, Python Programming, Data Analyst course with internship, Data Engineering, and IoT. Emphasizing hands-on learning, the institute equips learners with job-ready skills through real-time projects, internships, and placement support. Globally recognized certifications from IABAC and NASSCOM FutureSkills further enhance students credibility and career prospects in the tech industry.

DataMites specialized Data Analyst course in Ahmedabad is designed to meet evolving industry needs. The institute also operates in other major Indian cities such as Bangalore, Hyderabad, Chennai, Pune, Coimbatore, Delhi, Chandigarh, Jaipur, Mumbai, and Kochi, ensuring aspiring professionals across India receive comprehensive, industry-relevant education that empowers successful careers in data analytics.