On 17th Feb 2018, The Lead Data Scientist in Target India, Dr. Angshuman Ghosh delivered a guest lecture on Data Science in our campus. He began his address with a brief introduction about himself, his current company Target India and his experiences in his previous employers such as Spice Mobility Ltd and Star Network. He then went on to describe Data Science and its salient features. He said that data is of paramount importance in data analytics as without data there can be no analytics.
To underline the importance of data Dr. Ghosh took the example of his own company Target which has around 2000 stores. He said that the company is sitting on a goldmine of data consisting of demographic information, geospatial data and purchase preferences of all customers. Currently Data Analytics has a wide range of applications in Supply Chain, Demand forecasting, Marketing, Merchandising and so on. He spoke about the importance of VR and how it can be implemented with the help of Data Science. He also said that TV channel rating agencies such as BARC generate TV rating information by extrapolating data from a sample of 15000-20000 audience.
Dr. Ghosh said that Statistics, Mathematics and Probability are the backbone of Data Science. He explained us the concept of regression and the various assumptions we consider before regression. Computer Programming is required to make regression models scalable. He spoke about the importance of learning multiple programming languages by students who are aspiring for a career in Analytics. But as a beginner he asked the students to learn Python as it is the future of programming languages according to him. He also enlightened us about neural networks and how they work in Data Analytics.
On data security, Dr. Ghosh spoke about the safe guards which are in place to protect the privacy of the data. Target integrated all their coupons using data science such that any customer can walk into any floor and redeem their coupons using a mobile app. He took examples of Ola, Uber, Swiggy etc to emphasize on the rapid rise of businesses which have a very high reliance on Data Analytics. He ended his lecture by answering a few interesting questions from the audience. Overall it was a stimulating discussion on Data Science and the students immensely benefited from it.