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Akash Choutele

Akash Choutele

Data Analyst | Visualisation Developer

Talent
London, Greater LondonMember since September 18, 2023
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About

As a dedicated Data Analyst, I have acquired substantial hands-on expertise in data analysis through my roles as a Tableau Developer at University College London and as a Sustainability Assistant Data Analyst at the University of Leicester. Throughout my tenure at these esteemed institutions, I orchestrated the conception and execution of data management systems, resulting in noteworthy cost optimizations and heightened operational efficacy. My professional disposition is characterized by a constructive and impassioned perspective, underscored by a resolute commitment to remaining abreast of contemporary technologies and progressive breakthroughs.

Experience

Tableau Developer | University College London | London, UK | September 2022 - November 2022

  • Built Tableau dashboard to visualize the overall features of data analysis for National Institute for Health and Research, saving 10 hours per week of manual reporting work.
  • Aggregated unstructured data from 20+ sources to build the foundation of a new product.

Sustainability Data Analyst | University of Leicester | Leicester, UK | June 2022 - September 2022

  • Led the transition to a paperless practice by implementing an electronic booking system and a faster, safer, and more accurate business system; reduced cost of labour by 40% and office overhead by 10%
  • Worked with programmers, and management heads to identify process improvement opportunities, and propose system modifications.

Data Analyst | Schach Engineers | Mumbai, India | June 2020 - January 2022

  • Applying SQL and Python programming skills to extract, transform, and analyse data from various sources.
  • Navigating and contributing to a wide range of critical functions including project migrations, integration, customization, automation, as well as reporting and dashboard management.

Education

De Montfort University Leicester

  • Master of Science in Data Analytics | Grade 74% | January 2022 - June 2023

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