Lead Data Scientist, Sr. Financial Analyst, CEng.
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Raghuraj Pandya is currently a senior principal data scientist at Jacobs where he leads the data science team to realise value from their IoT platforms. He was a lead data scientist at Mott MacDonald where he has established and managed a fast-growing sector agnostic central data science team. He has hands on experience in data science along with managing stakeholders, develop and upscale into production data science tools, develop Group information strategy, data science process, governance framework, disseminate key predictive insights and manage specialists.
He has financial analysis and management consultancy skills gained through Chartered Financial Analyst program, Certification in Quantitative Finance program, senior investment analyst role for Corporate Venture Capital arm he was instrumental in setting up, authoring Group information strategy, Group competitor analysis, financial modelling, valuation, and money management ventures. He is also a Chartered Civil Engineer with 15+ years of experience in delivering infrastructure design, managing construction, and providing client technical and commercial advisory for projects in UK, EU, and Middle East.
2022-23: Foundry Foundation Certification - Palantir.
2021-22: Certificate in Quantitative Finance – Level I and II.
2020-21: WorldQuant University – Applied Data Science I and II.
2020-21: Deep learning Specialisation – DeepLearningAI.
2019-20: Cambridge Spark – Applied Data Science Bootcamp.
2018: Stanford Online - Machine Learning.
2017: Chartered Financial Analyst – Level II.
2016: Chartered Financial Analyst – Level I.
2009: Highly commended NCE Graduate of the Year 2009.
2007-08: University of Dundee, UK - MSc. Concrete Engineering and Environmental Management.
2006-07: CEPT University, India - B.Tech. Construction Technology.
