Monica Kumar Email & Phone Number

California, United States

Seattle, WA, US

• Designed and implemented a comprehensive metric reporting and anomaly detection framework for 100+ metrics across 500+ merchants processing $500M in total payment value, identifying and resolving critical issues.
• Developed and maintained a scalable data warehouse solution (Redshift, Hadoop) storing 2TB of product data, ensuring efficient data access and retrieval.
• Streamlined data pipelines, integrating with diverse APIs to achieve near real-time data access, reducing data ingestion latency by 25% and enabling faster insights generation.

Austin, Texas, US

• Collaborated with stakeholders to identify and define 15+ key performance indicators (KPIs) for core business operations. Developed a comprehensive metric suite using SQL, Airflow, Python, and Tableau to track product.
• Leveraged unstructured chat data to identify 5 key user sentiment leading to a 20% increase in user satisfaction rating of Tesla Energy products and informed product roadmap adjustments.
• Implemented predictive machine learning model to forecast job completion times with 87% accuracy. Provided a data-driven rubric for performance management, optimizing resource allocation, reducing project completion.

Austin, Texas, US

• Collaborated with data engineers to design and implement data pipelines for DataLakes and increased data completeness by 20%, ensuring high-quality data for analysis.

Austin, Texas, US

• Transformed customer, product, and sales data from text files, relational databases, log files into interactive dashboards to enable data driven decisions.

Richardson, Texas, US

Richardson, Texas, US

• Customer Segmentation - Developed a framework and performed Random Forest clustering for a major supermarket to segment customers based on orders and service provided to help prioritize customer orders.
• Provided insights for the customer service team that increased their sales efficiency by 3%

Richardson, Texas, US

Catonsville, MD, US

Pune, Maharashtra, IN

• Enhanced the customer retention model using predictive model and increased the prediction accuracy by 2%.
• Devised logistic regression model to assess the chance that customer will respond to direct marketing mail.
• Identified groups of similar customers for tailored marketing campaigns, reduced the customer churn rate by 1%.
• Gathered data using SQL, interpreted data to increase sales, translated research findings into Tableau reports, presented to stakeholders.

Masters Of Science, Business Analytics

Bachelor Of Engineering (B.E.), Electronics And Communications Engineering