Priyadharshini Vinobavey

Data Analyst at Trust Payments
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Contact Information
us****@****om
(386) 825-5501
Location
London, England, United Kingdom, UK

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Experience

    • United Kingdom
    • Financial Services
    • 300 - 400 Employee
    • Data Analyst
      • Jun 2021 - Present

    • United Kingdom
    • IT Services and IT Consulting
    • 1 - 100 Employee
    • Data Analyst / Scientist
      • Feb 2019 - Present

      • Working with technical teams, stakeholders and SMEs to gather data analytics requirements and transforming these requirements from abstract concepts, through design, extensive interrogation of the data and modelling to generating actionable insights. • Utilized Machine Learning techniques such as Random Forest, Gradient Boosting and Logistic Regression in Python to train and validate predictive models for customer retention, acquisition, lifetime value analysis, response and profiling purposes. • Applying data mining techniques to interpret and provide actionable recommendations to solve business and systems problems using supervised and unsupervised techniques. • Developed recommendation engines to support cross sell and upsell strategies by identifying products that are common within customer transaction across various market channels • Using SQL syntaxes to manipulate, summarise, consolidate and extract data from SQL Server Databases and Datawarehouse. • Utilized Natural Language Processing techniques to analyze unstructured customer feedbacks and how it relates to level of rating provided by customers. • Creating interval and ad-hoc operational performance reports using Tableau for the management and presented the data in intuitive and aesthetically pleasing way to a non-technical audience • Developed regional sales forecasts models using Python to support budgeting, planning and provision of a data driven futuristic view of business opportunities. • Integrated data from multiple sources using MS Excel, Tableau and PowerBI, and built automated reporting dashboards, score cards and other business intelligence solutions based on business requirements. • Deep diving into data to understand the drivers of performance, identify patterns and trends which could help reduce unnecessary cost, increase ROI and drive better business decisions. Show less

    • Telecommunications
    • 1 - 100 Employee
    • Claims Data Analyst
      • Sep 2017 - Sep 2018

    • United Kingdom
    • Retail
    • 700 & Above Employee
    • Customer Relations Manager
      • Dec 2014 - Jun 2017

Education

  • FATIMA COLLEGE
    Bachelor of Science (BSc)
  • Madurai Kamaraj University
    Master of Computer Applications (MCA)

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