Project-1: Drug marketing and Physician Targeting

With the increasing competition within pharmaceutical companies and tight regulations by the governments, it has become very difficult to market their drugs and target the physicians to prescribe their drugs once tested properly. So the role of Sales and marketing in pharmaceutical industry has become more critical in the recent times. In this article we will discuss how a machine learning model will help in analyzing the data, and predict the right physician to target, so as to market their drug.

August 1, 2021

Project-2: Multi-Class Classification of Research Articles

Researchers have access to large online archives of scientific articles. As a consequence, finding relevant articles has become more and more difficult. Tagging or topic modelling provides a way to give clear token of identification to research articles which facilitates recommendation and search process in a much better way. Goal here is to predict the tags for each article based on the abstract words(NLP). Link to Medium Article Link to Github Repository

July 15, 2021

Project-3: Retail Sales Forecast - Time Series

Time Series Analysis is very important when you want to build Forecast models such as Sales Forecast, etc. A Time series is a series of data points indexed in time order. helps organizations understand the underlying causes of trends or systemic patterns over time. Using data visualizations, business users can see seasonal trends and dig deeper into why these trends occur. In this article we will discuss how a Time series model can be built which will help in forecasting the Sales of the Retail Organization for next 2 months.