Prakash's inspiring journey as a data analyst

Switching careers to data analytics can be challenging, especially from a non-technical background. Prakash’s journey shows how passion, persistence, and structured learning can overcome obstacles. Despite financial constraints, he learned data science from scratch, gained practical experience, and secured his first job offering inspiration and guidance for aspiring data professionals.

From graduate to data analyst: Prakash’s career path

Prakash’s journey from an electronics graduate to a data analyst highlights how determination and learning, through IT courses in Mumbai like data science at DataMites, helped him gain experience, overcome challenges, and achieve his dream job.

Q1: Can you tell us about your academic background and how you started your career?

Prakash: I completed my graduation from Einstein Academy of Technology and Management. Initially, I studied electronics but wanted to shift to the IT industry. That’s when I joined DataMites and enrolled in the Certified Data Science course to build my career as data analyst.

Q2: What motivated you to choose data science and analytics?

Prakash: At first, I didn’t even know what data science was. I thought programming was all there was in IT. After speaking with seniors, I realized data analytics is a growing field with vast opportunities. That inspired me to pursue it.

Q3: How was your learning experience with Python, statistics, and machine learning?

Prakash: The learning process was great. The mentors were always available to solve our doubts. They gave us ample time to clarify issues and practice, which helped me a lot in building confidence.

Q4: How much time did you dedicate to studying each day?

Prakash: I attended classes four days a week for two hours each day. Additionally, I spent two to three hours revising topics and practicing coding, which helped me prepare thoroughly for interviews.

Q5: Did you refer to other learning resources apart from the training material?

Prakash: Yes, I used YouTube, Google, Stack Overflow, and even AI tools like ChatGPT and Gemini to solve doubts and errors. These resources helped how AI is changing the role of data analyst and helping to learn faster and more effectively.

Q6: How was your internship experience, and what kind of projects did you work on?

Prakash: I interned at Rubixe for six months, working in a team of five to six members. We completed around five projects focusing on real-world data problems like game and flight predictions. Teamwork and peer discussions played a key role in overcoming challenges.

Q7: What challenges did you face during learning and interviews?

Prakash: The algorithm section was the most challenging because theory and practical implementation often differ. I faced difficulties in explaining and applying algorithms, but persistent practice helped me overcome them.

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Q8: How did mock interviews help you prepare for client interviews?

Prakash: Initially, I scored around 2.4 out of 5, but after practicing for several months, I improved to over 6.5. Mock interviews prepared me for tougher client interviews, making me more confident and well-equipped.

Q9: What kind of questions were asked in client interviews?

Prakash: Most questions were based on Python libraries like NumPy and Pandas and SQL queries, focusing on retrieving and manipulating data. They asked how to create data frames and clean datasets.

Q10: How many interviews did you attend, and how did you finally get selected?

Prakash: I attended around 10 to 12 interviews out of 50–60 opportunities provided. Some offline interviews I couldn’t attend due to distance, but persistent effort and preparation led to my selection.

Q11: How did you prepare your resume and what tips would you give others?

Prakash: The DataMites placement team helped me create and refine my resume and building effective cover letter. I regularly update it every few days based on new learnings and feedback. Networking and attending live sessions also helped me strengthen my profile.

Q12: What advice would you give to others preparing for interviews?

Prakash: Never lose hope. Keep practicing coding and algorithms every day. Write notes, revise regularly, and use online resources for solving errors. Staying consistent is key to succeeding.

Q13: What’s next in your career journey?

Prakash: I’ve joined as a Data Analyst, focusing on data visualization tools like Tableau. In the future, I plan to gain experience and then switch to data science after two to three years.

Key Findings from Prakash’s Data Analyst Journey

Prakash’s inspiring journey is a perfect example of a Datamites success story, showing how determination, the right guidance, and consistent effort can help anyone transition into a thriving career in data analytics.

• Career transitions are possible: Prakash’s switch from electronics to data analytics shows that a non-IT background is not a barrier when you are determined to learn and adapt.
• Consistent practice is essential: Daily study sessions, revisions, and hands-on coding were crucial in building technical expertise and confidence.
• Mentorship and teamwork matter: Supportive mentors and peer discussions during internships helped Prakash overcome learning challenges and gain practical experience.
• Mock interviews build confidence: Structured mock interviews prepared Prakash for client interviews, helping him improve his problem-solving and communication data analyst skills.
• Online resources complement learning: Platforms like YouTube, Google, Stack Overflow, and AI tools were instrumental in clarifying doubts and enhancing learning.
• Never lose hope: Persistence, regular practice, and staying focused on learning strategies are key factors in overcoming hurdles and securing job opportunities in data analytics.

Prakash’s journey from electronics graduate to Data Analyst shows that with determination and guidance, career shifts are achievable. Enrolling in Data Analyst courses in Bangalore offers practical industry experience, expert mentorship, and networking opportunities, helping learners build skills and unlock rewarding career paths in data analytics and technology-driven roles.

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• How much will be the Data Analytics Course Fees in Mumbai?
• How to Become a Data Analyst in Mumbai?
• The Future of Data Analytics in Mumbai: Trends and Opportunities

DataMites Institute is a renowned provider of advanced IT training, offering courses in Data Science, AI, Machine Learning, Python, Data analytics course, Data Engineering, and IoT. Through practical projects, internships, and dedicated placement assistance, students gain the skills needed to succeed in the industry. Additionally, globally recognized certifications from IABAC and NASSCOM FutureSkills help boost students’ professional credibility.

Along with its Data Analyst courses in Mumbai, DataMites offers flexible, industry-relevant programs in key cities such as Pune, Hyderabad, Ahmedabad, Chandigarh, Delhi, Jaipur, and Coimbatore. This approach ensures that learners across India can access high-quality IT education tailored to meet evolving industry demands.