May 2017 – Jul 2017 · 2 mos · Gurgaon, India

• Developed an analytics dashboard using Shiny for the Revenue Management team, enabling them to get insights on various performance metrics of their Hotels and helped in managing various online and offline sales channel efficiently, ensuring better optimization of pricing of Hotels.
• Built a predictive model for booking cancellation behavior of guests using Gradient Boosting which helped in minimizing the risk of losing revenue on unsold rooms.
• Built a Dynamic Pricing Model in R considering historical performance and other variables which enabled the Revenue Management team to dynamically price their hotels using a Pricing Grid.

May 2016 – Jul 2016 · 2 mos · Hyderabad Area, India

• Developed a Sales Management Tool providing a wide range of features including Representative Analysis, Opportunity Scoring, Pipeline Analysis and Sales Forecasts from CRM data.
• Used Machine Learning techniques such as Random Forest, Support Vector Machines, Gradient Boosting Methods and Arimax in R.
• Created a Web interface of the tool using R shiny package.