Laura Kimble

I lead a team of high-performing data scientists and work hands-on to deliver ML-driven asset growth solutions to wealth firms.

• Develop custom supervised machine learning models to uncover opportunities for wealth firms to grow their assets under management through acquisition, expansion, and retention
• Lead the Data Science team, manage projects, track outcomes, and mentor junior members
• Collaborate with Sales, Customer Success, leadership, and clients to identify business needs and guide data science strategy
• Collaborate with Product, Engineering, and data vendors to build out data universe and infrastructure
• Streamline and automate the data ingestion, cleaning, enrichment, modeling, and results delivery processes to reduce the time to delivery for a new client by 50%

• Guided development of AI-driven marketing automation platform
• Wrote requirements, built wireframes, managed sprints, guided architecture and designs, and oversaw development activity

• Developed machine learning algorithms to recommend content for marketing platform using natural language processing, supervised learning, and recommendation engines.
• Collaborated with India engineering teams to integrate and deploy models, and implement performance improvements.

• Led statistical analysis to identify at-risk sales deals; developed predictive models to forecast opportunity outcomes and product attach
• Collaborated with Product, Marketing, Sales, and Data Science to design analytic approaches, identify data sources, interpret analyses, and communicate findings
• Created Tableau dashboards; trained account managers to use dashboards to enable self-service analytics

• Led new business growth initiatives into healthcare analytics market
• Developed algorithms to identify patients with high likelihood of rare disease for pharmaceutical client
• Provided technical guidance on healthcare project that developed neural nets to identify high-risk patients

• Applied data mining and statistical methods to analyze business data to improve program performance