Embarking on the journey of management education is more than just acquiring knowledge—it’s about cultivating ambition, curiosity, and a drive to excel in a competitive world. To equip students with invaluable industry insights, ISBR launched the second series of Career Advancement Training, focusing on real-world, domain-specific discussions that bring learning to life.
Aspiring Data Science and Business Analytics professionals engaged in a dynamic panel discussion titled “Harnessing Analytics to Navigate Complex Business Challenges.” The session was designed to bridge the gap between theoretical knowledge and real-world applications, helping students understand the nuances of the industry.
Meet the Experts
The discussion featured a panel of distinguished industry leaders who shared their experiences and expertise:
- Gokulnath Niranjan – Client Partner & Director, India & Europe Business, Tiger Analytics
- Aditya Kumar – Associate Director, Data Science and Machine Learning, Tiger Analytics
- Shiva Prakash – Ex-Chief Analytics Officer, Founder – SurfAI Solutions
- Nitin Agarwal – Principal Data Scientist, TOAST
- Rutwik Acharya – Senior Data Scientist, Atlassian
The Roadmap to Success in Data Science & Business Analytics
The panelists emphasized that success in the field extends beyond technical skills—adaptability, problem-solving, and perseverance play a crucial role.
Here are some of the top insights from the discussion:
1. Continuous Learning is Non-Negotiable
Data Science is an ever-evolving field, and staying ahead requires continuous upskilling. Students should engage in online courses, certifications, hackathons, and real-world projects to remain competitive.
2. Cultivating a Curious and Analytical Mindset
Exceptional data professionals question assumptions, analyze problems from multiple perspectives, and are unafraid to learn from failure. A curious mind leads to better problem-solving and innovative thinking.
3. Patience and Persistence in Problem-Solving
Data-driven decision-making takes time. Not all models or insights yield immediate success. Students must develop patience and persistence to iterate and refine their approaches for impactful results.
4. Mastering the Fundamentals
Before diving into advanced machine learning techniques, a strong grasp of fundamental concepts—statistics, probability, SQL, data cleaning, and business problem-solving—is essential. A solid foundation ensures effective application of complex models and tools.
5. Working on Industry-Relevant Projects
Hands-on experience is critical. Students should focus on real-world problems, demonstrating their ability to clean and analyze data, build predictive models, and generate meaningful business insights. Projects with end-to-end problem-solving approaches add significant value to a candidate’s portfolio.
A Transformational Learning Experience
The interactive session was enriched with real-world case studies and personal experiences, making it a powerful learning opportunity for students. The discussion underscored that technical expertise alone is not enough—success in Data Science and Business Analytics comes from applying knowledge effectively to solve real-world business problems.
As ISBR’s Career Advancement Training series continues, students eagerly anticipate more enriching discussions with industry leaders. With these valuable insights, they feel more confident and equipped to take on their internships and future careers with clarity and purpose.