Webinar on Applied data science methodologies in enterprise context

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The event featured Mr. Sitaram Tadepalli, Vice Chair of Machine Learning Systems at 
DBS Tech India, as the speaker. It was hosted by the IEEE Hyderabad Section 
Students Activities Committee in collaboration with the TEMS Chapter of IEEE 
Hyderabad Section. 
The objective of the webinar "Applied Data Science Methodologies in Enterprise 
Context" was to discuss how data science is used in banking. It aimed to show how 
artificial intelligence and data management in banking have changed , address the 
challenges banks face today due to internet and geographical growth, and explore 
new data techniques like data warehouses and data lakes. The webinar also aimed 
to emphasize the importance of ethical and fair practices in creating and using data 
models. Lastly, it provided a platform for attendees to learn from an expert, ask 
questions, and connect with others interested in this field.
Sudeep Banerjee, a member of IEEE SN from the Hyderabad section, commenced 
the session by addressing the attendees.
P. Karthik Rao, also a member of IEEE SN from the Hyderabad section, delivered the 
opening remarks and introduced the speaker, highlighting the significance of the 
topic and the speaker's expertise.
Mr. Sitaram Tadepalli started the discussion on the topic, diving into key aspects and 
providing insights.
The following are the takeaways from the webinar:
• Focus on the Evolution of AI:
 The session commenced with a discussion on the evolution of AI through 
various stages. Mr. Tadepalli presented a graphical representation depicting the 
highs and lows AI has encountered over time.
• Mr. Tadepalli's Discussion on Bank Operations from Approximately 20 
Years Ago: 
 Mr. Tadepalli dived into the operation of banks around two decades ago, 
highlighting the historical context for understanding data science in banking.
• Different types of data collected by banks were discussed, focusing on their 
significance in predicting future transactions and shaping banking operations.
• Operational Data Stores (ODS) and SQL Queries:
 Mr. Tadepalli shed light on Operational Data Stores (ODS) and the use of SQL 
queries and nightly jobs during that period, explaining their role in data management 
and analysis.
• Challenges Arising from Internet Expansion and Geographical expansion:
 Issues with SQL memory and nightly jobs were discussed, due to the 
expansion of the internet and geographical factors impacting banking operations. It 
became evident that banks were operating around the clock to accommodate 
transactions occurring in different time zones.
• To address challenges, solutions such as the implementation of Data 
Warehouses (DWH) and the creation of data lakes capable of storing both 
structured and unstructured data were proposed.
• The METHODOLOGY included generating exploratory data analysis (EDA) 
reports and charts to summarize the situation. Data scientists used various 
tools to understand data distribution for analysis.
• Feature Mart and modeling were discussed as methods to adapt to changing 
data needs and optimize data analysis processes within the banking sector.
• Methodology Involving Exploratory Data Analysis (EDA) and Feature Mart
 The methodology encompassed generating exploratory data analysis (EDA) 
reports and utilizing Feature Mart for data analysis and future use.
• Different models, categorized into classification and regression modes, were 
deployed, with considerations for batch and online modes. 
• Monitoring models involved evaluating of explainability and fairness for 
effectiveness.
To sum up, Mr. Tadepalli's talk gave us valuable information on how data science 
works in banking. He made sure to answer everyone's questions and stressed how 
important it is for models to be fair and ethical. He also mentioned that there's a lot 
of research going on about making loan approvals fairer. Mr. Tadepalli has offered his 
email address, inviting further discussions for those who are interested in the 
respective field.
Attendees posed questions regarding the discussion, and Mr. Tadepalli addressed 
each query, leading to an engaging and informative exchange.

The main outcome of the event was to give an overview about how data science is 
used in the banking sector. 50+ attendees have attended the webinar and gained 
knowledge on the topic.

Mr. Mahesh Nirati, Vice Chair of the Hyderabad section's Student Activities 
Committee (SAC), expressed gratitude by presenting a token of appreciation to the 
speaker.
The event Eventually concluded with the Vote of Thanks by Mr. Sudeep Banerjee, SN Core Team Member.