Vipul Bijawat is an experienced data scientist with a strong background in statistical analysis, machine learning, and data processing. Starting as a Research and Teaching Assistant at IIT Jodhpur from July 2014 to June 2016, Vipul utilized MATLAB for data analysis and image processing, employing chaos theory and Fourier transforms in research. Vipul further developed expertise at Applied Data Finance from October 2016 to November 2018, creating predictive models for financial institutions and performing data quality analysis. As an Associate Data Scientist at Shell from November 2018 to February 2021, Vipul focused on global retail marketing solutions, while currently serving as a Data Scientist in the Retail Network at Shell since March 2021, engaging with stakeholders and generating optimized automated solutions through advanced analytics. Educational qualifications include a Bachelor's Degree in Electronics & Communication Engineering and a Master's Degree in System Science from IIT Jodhpur.
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