Greater London, England, United Kingdom
• Experienced data science professional • Strongly committed to driving business value for machine learning application • Profound experience in statistics, machine learning techniques and big data analytics • Strong research background (30+ publications, 1000+ citations and 50+ invited talks, https://scholar.google.com/citations?hl=en&user=iU77ObYAAAAJ&view_op=list_works) • Passionate about finding solutions for the future of energy (http://www.energydatascience.co.uk/)
Leading multiple data science initiatives across the company. Working with business stakeholders and team of data scientists on predictive modeling for products in financial services, transportation, and energy
Analytics and predictive modeling related to financial products/services, transportation, and energy
Both hands-on work and technical leadership on projects (Proof of Concept to Production) on e.g., Investment factors, portfolio optimization, index generation, advanced data imputation techniques, price predictions, forecasting.
• Work on data pipelines and development of client and inhouse ML models • In charge of data engineering team, ETL and database management work; technology stack AWS, MySQL, python, scala, git.
• Training on Data Science concepts and technologies • Re-engineering prediction model with Spark MLLib
• Research in theoretical condensed matter physics on superconductivity and magnetism • Analysis of quantum many-body systems with large scale simulation and parallel computation • Handling large, multi-dimensional data sets