VAIBHAV KHANDELWAL

I am currently pursuing masters in Data Science from Lancaster University, UK. I have prior professional experience of 3 years, with 2 of these years being spent as a data scientist at Infosys Pvt. Ltd., India where I had worked on the India’s Goods and Services Tax (GST) project. Within this project, I worked on the development of the tax collection forecasting model for about 150 million business entities, using LSTM and Prophet model and then ensembling their output with linear regression. Due to the pandemic, there was a huge downswing in tax collection, and I was required to make adjustments to the models to ensure that forecasts remained correct. Additionally, I was involved in a cluster-based model project to identify different clusters of business entities based on their total tax paid and turnovers, where the number of clusters were calculated using the silhouette method. Furthermore, I gained extensive knowledge of the modelling pipeline from extraction of data and filtering it using Hive Query Language, the construction of a model, and the production of effective visualisations. The outputs from this project were used by central government tax officials to make operational decisions. During the final year of my undergrad, I created a smart lamp using IOT and machine learning. It had 6 modules all of which contain some sensors like pressure sensor, motion sensor, infrared sensor, etc that were used to collect some data in the form of their readings on which different machine learning algorithms were applied to automate it. I like to learn, write blogs, and discuss new technologies. I am very interested in developing new technology solutions and integrating them to existing systems to improve efficiency. I am tenacious, diligent, and have the ability to learn and switch between distinct technologies effortlessly. I have experience in interacting and working closely with clients, understanding their requirements, and delivering required solutions. I appreciate working in a team as it opens new space of ideas for everyone and helps team to grow.