Industry Spotlight Session: Building Models, Building Careers: Insights from the Field for Future Analysts

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On 9th August 2025, the School of Sciences and School of Commerce jointly organized an alumni interaction session titled “Building Models, Building Careers: Insights from the Field for Future Analysts” for the second-year MSc Data Science and MSc Global Finance and Analytics students. The session was delivered by Mr. Atishay Jain, Unit Manager at Bajaj Finserv, Pune, and an accomplished alumnus of the MSc Data Science program at CHRIST (Deemed to be University), Lavasa.

The objective of the session was to bridge the gap between classroom learning and the dynamic requirements of the corporate sector, giving students a perspective into industry-standard tools, techniques, and strategies. Drawing from his professional journey, Mr. Jain began by introducing the core technologies that hold significant importance in analytics—Excel, SQL, Python/R, and Power BI/Tableau. He elaborated on how each tool plays a distinct role in the data analytics pipeline: Excel for rapid data manipulation and reporting, SQL for robust database querying and management, Python/R for advanced statistical modeling and machine learning, and Power BI/Tableau for impactful data visualization and business intelligence. He advised students to first develop strong fundamentals in these tools before advancing to more complex frameworks.

The session then transitioned into real-world applications, where Mr. Jain presented problem statements and case studies from his work at Bajaj Finserv. These examples covered diverse areas such as customer segmentation, credit risk evaluation, sales forecasting, and operational efficiency enhancement. By discussing the decision-making process behind these projects, he illustrated how data analytics informs critical business strategies. Students were encouraged to share their ideas and propose alternative approaches, fostering an interactive exchange of perspectives.

A significant part of the session focused on the end-to-end process of building strong analytical models. Mr. Jain outlined the stages systematically, beginning with data collection, emphasizing the need for accurate, relevant, and sufficient data. He highlighted that data preprocessing and cleaning, although often time-consuming, are essential for ensuring model reliability. He then discussed Exploratory Data Analysis (EDA) as a key step in identifying trends, patterns, and anomalies before formal modeling. The discussion progressed to base model development and the subsequent fine-tuning process to align models with specific business needs.

Throughout his talk, Mr. Jain related these stages to actual project timelines and corporate expectations, enabling students to connect theoretical learning with practical execution. He also addressed the importance of balancing technical expertise with business acumen, a skill set highly valued in analytics careers.

In the concluding segment, students engaged in an interactive Q&A session, asking both technical and career-oriented questions. Mr. Jain provided detailed responses, sharing practical tips, learning resources, and personal anecdotes from his own career journey.

The session stood out for its interactive style, making technical concepts easy to connect with real-world situations. Students left with a better understanding of the skills to develop, the typical flow of analytics projects, and the mindset needed to succeed in data-driven careers.

Overall, the event proved to be an enriching experience, reinforcing how strong academic foundations, when coupled with industry-relevant skills, can translate into impactful professional outcomes.


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