From Mechanical Engineering to Data Analyst: Guruprasad’s Journey

In today’s data-driven world, transitioning from a non-technical background to an emerging tech career might seem challenging—but not impossible. Guruprasad, a mechanical engineering graduate, broke that barrier and successfully transformed into a Junior Data Analyst with the help of a comprehensive Data Science program at DataMites Institute. This article captures his journey, challenges, learnings, and eventual success in a Q&A format to guide and inspire aspirants looking to switch careers into data analytics or data science.

Guruprasad’s Shift: Mechanical Engineering to Data Analyst 

Ever wondered if a Mechanical Engineer can turn into a successful Data Analyst? Guruprasad did just that—here’s how he made the leap with DataMites!

Q1: Can you introduce yourself to our readers?

Guruprasad: Hello everyone! I’m Guruprasad from Guntur. I completed my engineering in Mechanical in 2023. Post-graduation, I enrolled in the Data Science course at DataMites, where I learned tools like Python, SQL, Machine Learning, Deep Learning, and NLP. Eventually, with the support of the placement team, I secured a job as a Junior Data Analyst at D Cube.

Q2: When were you selected, and where are you currently placed?

Guruprasad: I got selected one week ago, and I joined the company on August 12th. I’m currently working in Hyderabad. The interview was conducted virtually since I requested remote access from the HR team.

Q3: Coming from a mechanical background, how did you shift towards Data Science?

Guruprasad: During my engineering, I did an internship in data analysis and learned basic concepts of Python and SQL. After graduation, I realized my interest in the IT field and decided to upskill by joining DataMites Institute, which helped me build a strong foundation in Data Science over 8 to 10 months.

Q4: What kind of projects did you work on?

Guruprasad: I worked on various Capstone and client projects, such as:

1. Flight Fare Prediction
2. Sales Effectiveness Analysis
3. Liver Disease Prediction
4. Rice Leaf Disease Detection

My client project focused on sales effectiveness, where I created a model to analyze sales performance based on key features.

Q5: What role are you working in currently and what tools are you using?

Guruprasad: I’m working as a Junior Data Analyst, where I primarily use SQL. In the interview as well, 70% of the focus was on SQL coding and 30% on theoretical questions.

Q6: Was this your first interview or did you attend others before this job offer?

Guruprasad: This was my fourth interview. I had given two interviews before joining DataMites but didn’t clear the final rounds. After enrolling, I appeared for four interviews and finally secured my current role.

Q7: What challenges did you face while learning new tools like Python and Machine Learning?

Guruprasad: Initially, it was tough. Python took around two weeks to master the basics, and Machine Learning took a month to understand thoroughly. Deep Learning and NLP also required focused effort. I practiced daily for 2 hours, using other youtube resources.

Read the articles:

• From Writing content to Writing Code: Aaspruha’s Shift
• Switching Tracks: Abrar’s Mechanical Mind to Data Pro
• From Roots in Biology to Rising in Data Analytics: Poojitha’s Journey

Q8: How did the mock interviews and placement team help you?

Guruprasad: Mock interviews were a game-changer. I gave two mock interviews. The first one gave me valuable feedback on areas like Machine Learning and Deep Learning. After improving, I cleared the second one. The placement team also helped with resume building, especially by ensuring ATS optimization, adding relevant projects, and formatting professionally.

Q9: What advice do you have for freshers or career switchers?

Guruprasad: Start with strong basics in Python and SQL. Don’t be discouraged by your background. Even if you’re not from a CS background, with consistent practice and the right guidance, you can land a job. Work on multiple projects, give mock interviews, and take every feedback seriously.

Key Takeaways from Guruprasad's Journey

Guruprasad's journey from Mechanical Engineering to Data Analytics is a testament to the power of perseverance, hands-on learning, and the right support. Here are the key takeaways from his inspiring transformation.

1. Background Doesn’t Limit You – Guruprasad transitioned from Mechanical Engineering to Data Analytics successfully.
2. Hands-On Projects Are Essential – He completed multiple real-world projects that enhanced his resume.
3. Placement Support Matters – The DataMites team helped him with resume preparation, interview readiness, and job applications.
4. SQL Is Crucial – SQL played a major role in his interviews and current job responsibilities.
5. Self-Learning Complements Classroom Learning – He leveraged YouTube and coding platforms like W3Schools to strengthen his knowledge.
6. Mock Interviews Help – Constructive feedback from mock interviews helped him crack actual interviews.
7. Consistency Is Key – Studying  atleast 2 hours daily was instrumental in mastering tough concepts.

Guruprasad’s journey proves that with determination, consistent effort, and the right mentorship, transitioning into a data analytics career is entirely achievable. His success story is a beacon of hope for non-tech aspirants aiming to thrive in the data-driven world. According to the "Instahyre Tech Salary Index 2025," Bangalore accounts for 35% of India’s tech workforce, followed by Delhi-NCR and Hyderabad at 20% each. Pune contributes 15%, while Chennai represents the remaining 10%.

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 cities such as Chennai, Hyderabad, Pune, Ahmedabad, Coimbatore, Delhi, Jaipur, and Mumbai offers learners exceptional industry exposure, valuable networking opportunities, and enhanced career prospects—paving a strong foundation for careers in data analysis and software development.

DataMites Institute stands out as a premier destination for high-quality training in Data Analytics, Data Science, Python Programming, Machine Learning, and Artificial Intelligence. With a job-focused curriculum, DataMites Institute emphasizes not just theoretical learning but also practical, hands-on experience through interactive live sessions. The institute caters to a wide range of learners by offering flexible options in both online and offline formats.

Students at DataMites gain real-world exposure through live projects and internship opportunities, helping them build a strong portfolio and become industry-ready. This experiential learning model ensures that graduates are equipped to thrive in the competitive tech job market.

Accredited by IABAC and NASSCOM FutureSkills, DataMites has earned a reputation as a trusted name in professional education. Their globally recognized certifications add significant value to one’s career, making them ideal for both beginners and professionals seeking to upskill in the dynamic tech industry.

DataMites offers comprehensive offline Data Analyst training in Chennai, along with major cities like Bangalore, Hyderabad, Pune, Ahmedabad, Jaipur, Coimbatore, Delhi, and Mumbai—empowering learners across India to achieve their career goals with confidence.