Rhea D. Email & Phone Number

Boston, Massachusetts, United States

Foxborough (Foxboro), Massachusetts, United States

• Develop, deploy, and maintain a variety of predictive models using machine learning algorithms with a focus on customer lifetime value• Visualize customer behavioral data to identify trends for model building• Implement models and analytic methods to inform strategic business decisions related to revenue, ticket sales, attendance, and other metrics for professional sports organizations• Designed an automated system to predict the average price of game tickets for MLB teams• Created a monitoring process to flag model hazards and to devise a strategy for updating models based on new data

Boston, Massachusetts, United States

Boston, Massachusetts, United States

Developed a supervised regression model to predict resource utilization by a job on the HPC clustero This machine learning model helps the researchers plan their resources in an efficient wayo Utilized SLURM workload manager to extract over 9 million records of User-Cluster utilization datao Reconfigured a Docker container to align its specifications with that of the University’s HPC cluster and import the Cluster’s User/Group data to the container consisting of ColdFront (Resource Allocation tool)

Boston

o Examined overall sentiment of a client Incident description using Python NLTK to study issues with the serviceo Generated reports on Incident data to analyze KPIs and provide actionable insights to reduce client churn rateo Examined 100k incident ticket turnaround times to provide insight on employee performanceo Helped researchers debug Python scripts to run on the HPC cluster

Pune, Maharashtra, India

o Designed a time-series model to forecast employee headcount based on the number of SLAs breach historyo Performed exploratory analysis on bank audits and identified key measures to monitor using Tableau’s interactive dashboardso Received Best Performer award for collaborating with data owners to gather, process and blend large volume of transaction data using SQL ensuring high quality data

Pune, Maharashtra, India

Data cleaning of customer feedback data which is used for the machine learning model to predict customer satisfactiono Created ETL pipeline for customer feedback data from SQL to Python using various data sourceso Created dashboards in Tableau on customer feedback data to monitor administrative service performance

Master'S Degree, Data Analytics, 3.7

Bachelor Of Engineering (B.E.), Chemical Engineering, 7.76/10

12Th, Science, 72%

10Th, 86%