Sep 23–26, 2019

Anjali Samani
Data Science Manager, CircleUp

Anjali Samani is a data science manager and leads the predictive modelling team at CircleUp, an innovative fintech company recently honored as one of the World’s Top 10 Most Innovative Companies in Data Science. Anjali has extensive experience in managing and delivering commercial data science projects and has worked with senior decision makers in startups, Financial Times Stock Exchange (FTSE) 100 businesses and public sector organizations in the UK and US to enable them to develop their data strategy and execute data science projects. Her roles bridge technical data science and business to identify and execute innovative solutions that leverage proprietary and open data sources to deliver value and drive growth. In her former life, Anjali was a quantitative analyst in asset management, and she has a background in computer science, economics, and mathematics.

Sessions

11:20am–12:00pm Thursday, September 26, 2019

Location: 1A 08/10

Working with time series: Denoising and imputation frameworks to improve data density

Data Science, Machine Learning, & AI

Secondary topics: Financial Services, Temporal data and time-series analytics

Anjali Samani (CircleUp)

The application of smoothing and imputation strategies is common practice in predictive modeling and time series analysis. With a technique-agnostic approach, Anjali Samani provides qualitative and quantitative frameworks that address questions related to smoothing and imputation of missing values to improve data density. Read more.