Nehali Dinde

Nehali Dinde

Operations Analyst

Followers of Nehali Dinde15 followers
location of Nehali DindePanvel, Maharashtra, India

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  • Timeline

  • About me

    Data Analyst at Mastercard | Tableau | Citrix | Data Analytics | Data Science and Machine Learning | Operations | Data Transcriber | CRM

  • Education

    • University of Mumbai

      2017 - 2020
      Bachelor of Management Studies Marketing A+

      Participated in various cultural events and organised various event management.

  • Experience

    • Payformance digital

      Feb 2020 - Feb 2022
      Operations Analyst

      • Conduct thorough analysis of operational data to identify trends, patterns, and areas for improvement.• Utilize data visualization tools to present complex data in an understandable format.• Analyse existing operational processes and workflows to identify inefficiencies.• Define and monitor key performance indicators (KPIs) to measure operational efficiency and effectiveness.• Stay updated on industry trends and technological advancements that can benefit operations.

    • Desibol InfoTech Solutions Pvt. Ltd.

      Mar 2022 - Dec 2023
      Data Transcribe Executive

      • Accurately transcribed and entered data from various sources, maintaining high data quality and compliance.• Implemented quality control measures and utilized data transcription software to enhance efficiency.• Generated reports and analysed met data to provide insights for decision-making and process improvement.• Managed data transcription projects, ensuring resource allocation and timelines were.

    • Finicity, a Mastercard Company

      May 2024 - Oct 2024
      Data Analyst

      • Extract and verify data from multiple sources to ensure completeness and accuracy.• Integrate and merge datasets using SQL databases and scripting languages (Python) to create unified datasets for analysis.• Implement automated labelling techniques and define labelling criteria based on project requirements.• Utilize Tableau to review and correct data deficiencies, continuously improving validation techniques based on feedback.• Develop and maintain comprehensive documentation for data processes and validation rules to support team knowledge sharing.• Collaborate with cross-functional teams to define project objectives and deliver actionable insights.• Create and present detailed reports on data findings and trends to stakeholders, facilitating data-driven decision-making.• Utilize machine learning algorithms to enhance data processing and improve labelling efficiency where applicable.• Monitor and analyse data extraction performance metrics to identify areas for further optimization. Show less

  • Licenses & Certifications