Aman's transformative journey to data analyst

Career transitions are never easy, especially when they involve moving from a non-technical background to a highly technical role. Aman’s story is a perfect example of perseverance, hard work, and the right guidance. From being a Business Development Executive (BDE) in sales to becoming a Data Analyst, Aman’s journey with DataMites Certified Data Science Course is both inspiring and motivating for aspirants aiming to enter the world of analytics.

From BDE to data analyst: Aman's transformative journey

From a Business Development Executive to a Data Analyst, Aman's inspiring journey highlights how dedication, patience, and the right mentorship at DataMites can empower anyone to overcome challenges and successfully transition into the IT domain.

Q1. Aman, can you introduce yourself and your background before entering Data Science?

Aman: I am from Bihar, currently living in Bangalore. I completed my Bachelor of Arts in Mass Communication. Later, I joined Byju’s as a Business Development Executive for one year. During this time, I realized my passion for data and decided to pursue a career in Data Science.

Q2. Did you have any technical knowledge before joining DataMites?

Aman: Honestly, no. I had zero knowledge of Python, Statistics, or Machine Learning since I didn’t come from a technical background like B.Tech or BCA. But I believed that with hard work, I could learn anything.

Q3. How did you build the courage to switch careers despite a non-technical background?

Aman: I always read blogs that highlighted how Data Science was booming. That motivated me. Also, my friend, who suggested DataMites, constantly encouraged me to pursue this career.

Q4. How was your initial learning phase at DataMites?

Aman: The beginning was tough, especially coding. It took me six months to gain confidence in Python. Statistical analysis for data analyst was a bit easier because of my science background in school. I also practiced coding on HackerRank, used Code with Harry, and learned a lot from YouTube tutorials and ChatGPT.

Q5. Tell us about your project and internship experience.

Aman: I worked on 7–8 projects, including a client project. Projects boosted my confidence, as I learned about end-to-end workflows, pipelines, and teamwork. Tools like ChatGPT helped me explain data analyst projects better during interviews.

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Q6. How did the placement process at DataMites help you?

Aman: DataMites arranged multiple interviews for me. I appeared for 7–8 interviews before cracking the final one. Initially, I struggled, but the placement team arranged revision classes, mock interviews, and extra sessions, which helped me improve my technical and communication skills.

Q7. How did you handle repeated interview failures?

Aman: It was tough, but I stayed patient. I treated each rejection as a learning experience. I improved my project explanations, coding skills, and communication after every attempt. Patience and persistence were my biggest strengths.

Q8. What were some of the key interview questions you faced?

Aman: In my final interview, questions were from Machine Learning (Decision Trees, Bagging, Boosting, Regression, etc.), Python (Pandas vs Numpy), and coding challenges like removing stop words from a sentence.

Q9. What are your key learnings for aspirants from non-technical backgrounds?

Aman:

• Hard Work + Patience = Success
• Never give up after a few failures.
• Keep practicing coding on platforms like HackerRank.
• Focus on project explanations – they matter a lot in interviews.
• Use resources like ChatGPT, LMS content, YouTube tutorials to strengthen concepts.

Key findings from Aman's career path

Aman’s journey is one of the most inspiring DataMites success stories, showcasing how determination and the right guidance can help anyone switch to a thriving career in Data Analytics.

1. Transitioned from business development executive to data analyst with no technical background: Aman moved from a sales-oriented role as a BDE to becoming a Data Analyst, proving that even individuals from non-technical fields can build a successful career in data science with proper training and mentorship.
2. Took six months to gain confidence in python: Coming from a journalism and mass communication background, coding was a new challenge for Aman. With persistent practice, he developed confidence in Python over six months, highlighting the importance of consistency in learning.
3. Completed 7–8 projects, including client-based projects: By working on multiple real-world and client projects, Aman gained hands-on exposure to data workflows, pipelines, and teamwork. These projects played a vital role in boosting his technical skills and confidence for interviews.
4. Faced 7 interviews before cracking the final job: Aman attended seven interviews arranged by DataMites before securing his final role. His perseverance shows that setbacks are stepping stones to success when coupled with continuous learning and self-improvement.
5. Relied on Datamites mentorship, mock interviews, and placement support: The DataMites placement team supported him through mock interviews, revision classes, and continuous mentorship, ensuring that he refined his data analyst skills and stayed motivated until he achieved his goal.

Used hackerrank, code with harry, chatgpt, and youtube for practice: To strengthen his technical foundation, Aman utilized multiple resources like HackerRank for coding practice, Code with Harry tutorials for Python, YouTube videos, and ChatGPT for quick problem-solving. Aman emphasizes that success doesn’t come overnight. Continuous hard work, coupled with patience and the consistency to keep learning despite failures, is what ultimately helped him land his dream job. According to the World Economic Forum’s ‘Future of Jobs 2025’ report, advancements in robotics, AI, and autonomous systems are set to transform India’s job market by 2030.

For aspiring professionals looking to build rewarding careers, most of the institute offers some of the most comprehensive IT courses in Mumbai, empowering learners with the skills, mentorship, and industry exposure needed to succeed in today’s competitive tech landscape. 

Refer to the articles below:

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

DataMites Institute is a leading provider of advanced IT training, offering specialized courses in data science, artificial intelligence, machine learning, python, data analyst training in Bangalore, data engineering, and IoT. With hands-on projects, internships, and dedicated placement support, students gain practical expertise to thrive in today’s competitive tech industry. Moreover, globally recognized certifications from IABAC and NASSCOM FutureSkills enhance their professional credibility and career prospects.

In addition to its data analyst courses in Mumbai, DataMites delivers flexible, industry-driven programs across major cities such as Pune, Hyderabad, Ahmedabad, Chandigarh, Delhi, Jaipur, and Coimbatore, ensuring that learners nationwide have access to top-quality IT education aligned with evolving industry needs.