Soumya Banerjee

Soumya Banerjee

Finance Trainee (Analyst)

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location of Soumya BanerjeeKolkata, West Bengal, India

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  • Timeline

  • About me

    Data Science Enthusiast || Data Analyst / Big Data Analyst. | Big Data Engineer.

  • Education

    • Nava Nalanda

      1998 - 2010
      WBBSE (10th std.)
    • University of Calcutta

      2013 - 2017
      Bsc. Economics (Honours) Honours in economics with mathematics and statistics as additional subjects
    • Nava Nalanda

      2010 - 2012
      W.B.C.H.S.E (12th std.) Economics, Mathematics, statistics with computer science as an additional subject.
    • Ivy Professional School

      2019 - 2021
      Data Science and Big data analytics.

      The Basic Data Analytics course comprised of headers in the likes of Excel, SQL and Relational Database Management Business statistics, R- programming, Python and Machine Learning essentials.In addition to that, Big data analytics is the focal point with special concentration on Hadoop.

  • Experience

    • Sourcedesk Global Private Limited

      May 2018 - Dec 2018
      Finance Trainee (Analyst)

      • Conducted Service Review Monthly (SRM) calls with partners to discuss planning and performance reporting.• Compiled and delivered the Month-End Financial Report, integrating data from QBO and Xero across all clients.• Designed and developed impactful data visualizations to effectively convey insights and communicate findings.• Gathered and synthesized data from various internal and external sources to establish key performance indices.• Executed exploratory data analysis to uncover patterns and derive actionable insights from data and analytics. Show less

    • Maveric Systems Limited

      Aug 2021 - now
      Software Engineer

      • Developed and implemented various algorithms for analytics using Cassandra integrated with Spark.• Possess a comprehensive understanding of Hadoop Architecture and its underlying framework, including storage management.• Experienced in installing, configuring, and administering Hadoop distributions such as CDH4 and CDH5.• Proficient in leveraging Hadoop infrastructures, including MapReduce, Hive, Zookeeper, HBase, Sqoop, and Oozie.• Skilled in utilizing Flume, Drill, and Spark for data storage and analytical purposes.• Capable of working with both structured and unstructured/unparalleled data.• Managed Impala for frontend applications and utilized Spark SQL for backend processing within custom DataFrames.• Designed and maintained data models and schemas for diverse data sources.• Adept in using the Oozie Framework and automating daily import jobs. Show less

  • Licenses & Certifications