逗号简历

Performed K Means clustering on the rides to identify the high performing, low performing, and medium performing rides.

Identified cold spots within the park using clustering which helped develop a plan to tackle the cold spots of the park.

Predicted operation cases for 2020 which helped the operations department identify days on which it's more likely to receive a lot of cases to allocate resources accordingly.

Performed customer segmentation using K Modes as all fields were categorical.

Created a binary classification model to predict if an operations case will breach SLA with an f1 score of 89 percent and created a web application around this using streamlit.

Analyzed the trend in revenue, occupancy, and ARR by creating dashboards.

Wrote queries using SQL to extract data and analyze it, predicting future revenue using Excel and Alteryx.

Automated reports using google sheets and script editor, increased the revenue from 3.6million in 5 months by identifying the high booking period.

Developed several MIS reports for various departments including finance, IT, HR, etc which helped to improve decision making and internal business process and wrote queries on Microsoft SQL to pull relevant data.