Chaitanya Joshi is a senior data scientist at the Data Science Campus at ONS. Chaitanya (conveniently called Joshi) is trained as a theoretical quantum physicist obtaining a PhD in theoretical quantum physics from Heriot-Watt University in Edinburgh. Prior to joining the Campus, Joshi had been a research fellow in Cardiff, York and St Andrews. Joshi’s research interests include, Deep learning, Natural language processing, Markov models, Predictive analysis and applications of quantum physics in Data Science. Since joining the campus, Joshi has applied a range of advanced statistical, machine learning and deep learning techniques on different projects. Outside normal working hours, Joshi enjoys cooking, running and working for charitable causes.
We demonstrate the use of a range of freely available anonymised and aggregated novel datasets to estimate visitation counts to natural areas.
Read more on A data science approach to estimate the use of natural spaces: a feasibility study
ONS Data Science Campus (DSC) and Defra’s Spatial Data Science team developed a novel solution for estimating the number of visitors to natural spaces across England.
Read more on Using open-source data to measure our engagement with the natural environment
Bringing data science to the heart of decision-making.
Read more on Automating consultation analysis
Synthetic data mimics essential characteristics from the original dataset, creating new, substitute data that does not represent any real person, removing confidentiality requirements.
Read more on Synthetic data for public good and art