Dharaneeswaran P

Dharaneeswaran P

Data Analyst

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location of Dharaneeswaran PChennai, Tamil Nadu, India

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  • Timeline

  • About me

    Data Analyst || Power BI || Python || SQL || Excel || Power Automate

  • Education

    • MNM Jain Engineering College

      2016 - 2020
      Bachelor's degree Information Technology 7.7
  • Experience

    • Eviden

      May 2021 - now
      Data Analyst

      Role and Responsibilities; -• Working as Microsoft Power BI developer for projects related to healthcare financial process.• Handling of data load from multiple sources. Cleansing the data using Python.• Loading the cleaned data in Power BI, modelling and developing the KPI visuals, finally publishing them into Power BI service andsharing the reports via Power BI Apps.Projects and achievements: -• Analyzed 100+ datasets, encompassing approximately 5 million records, utilizing SQL and power BI to extract value business insights• Created reports and interactive dashboards are created for analyzing the revenue streams, billing trends and accounts receivable formonitoring the overall financial health of organization.• Reports for tracking and analyzing the cost includes expenses related to supplies and labor, equipment's for helping to perform thecost variance analysis• Insights through power BI reports to compare the budget financial data with actual financial performance to plan for budget year Show less

  • Licenses & Certifications

    • Soft skills

      TCS
      Jun 2024
    • Advanced DAX for Microsoft Power BI

      Maven Analytics
      Feb 2024
      View certificate certificate
    • Excel: Mother of Business Intelligence

      Codebasics
      Nov 2023
      View certificate certificate
    • HackerRank

      HackerRank
      Sept 2020
      View certificate certificate
    • Microsoft Certified: Azure Fundamentals

      Microsoft
      Sept 2024
      View certificate certificate
    • PL-300 | DA-100 Microsoft Power BI Certification

      Udemy
      Oct 2023
      View certificate certificate
    • Analyzing and Visualizing Data with Microsoft Power BI

      Microsoft
      Jan 2023
    • SQL for Data Science

      Great Learning
      Nov 2023