Esha Joshi

Jr. Data Engineer at bigspark
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Contact Information
Location
Cambridge, England, United Kingdom, UK
Languages
  • English Professional working proficiency
  • German Limited working proficiency
  • Hindi Native or bilingual proficiency
  • Marathi Native or bilingual proficiency

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Jordan Levy

Esha is a highly adaptable engineer who is eager to explore new technology and build things. Her technical skills are complimented by her friendly demeanor and pragmatism, making her an easy fit into most any team.

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Credentials

  • Analyzing Big Data with Hive
    LinkedIn
    Oct, 2023
    - Sep, 2024
  • Data Science Foundations: Data Engineering
    LinkedIn
    Sep, 2023
    - Sep, 2024
  • Problem-Solving Strategies for Data Engineers
    LinkedIn
    Aug, 2023
    - Sep, 2024
  • Hands On Essentials - Data Lake
    Snowflake
    Apr, 2023
    - Sep, 2024
  • Hands On Essentials - Data Sharing
    Snowflake
    Mar, 2023
    - Sep, 2024
  • Model Builder Badge
    Solidatus
    Mar, 2023
    - Sep, 2024
  • Hands On Essentials - Data Applications
    Snowflake
    Jan, 2023
    - Sep, 2024
  • Hands On Essentials - Data Warehouse
    Snowflake
    Apr, 2022
    - Sep, 2024
  • Linear Algebra Master
    Udemy
    Aug, 2020
    - Sep, 2024
  • Statistics for Data Science and Business Analytics
    Udemy
    Aug, 2020
    - Sep, 2024
  • Complete Python Bootcamp
    Udemy
    May, 2020
    - Sep, 2024
  • Goethe Zertifikat B1
    Goethe Institut Indien
    Jul, 2019
    - Sep, 2024
  • Goethe Zertifikat A2
    Goethe Institut Indien
    Apr, 2019
    - Sep, 2024
  • Goethe Zertifikat A1
    Goethe Institut Indien
    Feb, 2019
    - Sep, 2024

Experience

    • United Kingdom
    • Software Development
    • 1 - 100 Employee
    • Jr. Data Engineer
      • Mar 2022 - Present

      Worked on creating a fraud detection model for identification of fraud businesses to make the screening processes easier while onboarding companies. ETL pipelines on AWS cloud were created and web scraping of data was done from government websites and checks were conducted to ensure validity of data. Data Modelling for ingestion into a graph database was done to detect fraud patterns using visualisation techniques. Worked on creating a fraud detection model for identification of fraud businesses to make the screening processes easier while onboarding companies. ETL pipelines on AWS cloud were created and web scraping of data was done from government websites and checks were conducted to ensure validity of data. Data Modelling for ingestion into a graph database was done to detect fraud patterns using visualisation techniques.

    • Transportation, Logistics, Supply Chain and Storage
    • 1 - 100 Employee
    • Frontend Developer
      • Jul 2023 - Aug 2023

      Working as a frontend developer to create an all in one platform that tracks and visualises equipment, assets, etc. Working as a frontend developer to create an all in one platform that tracks and visualises equipment, assets, etc.

    • United Kingdom
    • Banking
    • 700 & Above Employee
    • Data Engineer
      • Apr 2022 - Mar 2023

      Worked on a solution for Financial Crime by creating a framework of ETL pipelines using StreamSets loading data from relational and non-relational databases. A data lake was created which was used for reporting purposes of the KPI's by transforming the data using data warehousing stored procedures. Data Quality checks were conducted by using the AWS plugin for DQ and data auditing was done as well. Worked on a solution for Financial Crime by creating a framework of ETL pipelines using StreamSets loading data from relational and non-relational databases. A data lake was created which was used for reporting purposes of the KPI's by transforming the data using data warehousing stored procedures. Data Quality checks were conducted by using the AWS plugin for DQ and data auditing was done as well.

    • United Kingdom
    • Retail
    • 700 & Above Employee
    • Online Assistant
      • Feb 2022 - Mar 2022
    • United Kingdom
    • Non-profit Organizations
    • 700 & Above Employee
    • Shop Volunteer
      • Sep 2021 - Feb 2022
    • Research Services
    • 700 & Above Employee
    • Student Intern
      • Nov 2019 - Dec 2019

      Joined as a Data Science intern and worked on a database for the chemical treatments for a plant. Used Python programming, MySQL and a bit of Apache Hadoop. main task was data mining and spotting irregularities in the data. Joined as a Data Science intern and worked on a database for the chemical treatments for a plant. Used Python programming, MySQL and a bit of Apache Hadoop. main task was data mining and spotting irregularities in the data.

Education

  • University of Stirling
    Master's degree, Big Data
    2021 - 2022
  • Fergusson College
    Bachelor of Science - BS, Mathematics
    2017 - 2020

Community

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