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$52000
Age, Birthday:
25  years, Apr 18, 2001
Citizenship:
Ireland
Permission to work:
Ireland



About Me

I’m a Data and Reporting Analyst with an MSc in Data and Computational Science from University College Dublin and experience in business, financial and BI reporting across Ireland and India.

At Heart Rhythm Ireland, I extracted, cleaned and analysed large datasets from our CRM, Snowflake, Azure and finance systems using SQL, Python and advanced Excel. I reconciled sales and payment data with Finance so every report was accurate, built Tableau and Power BI dashboards from scratch, and prepared regular and ad hoc reports on revenue, costs, margins and growth for management. I also automated our recurring reporting, which cut manual work by 60%.

Before that, I worked as a Technical Consultant at Technobind, analysing large datasets for enterprise clients, including financial services firms. In my current role at Teleperformance Ireland, I track performance metrics every day and have kept a quality score above 90% every month, with 8 perfect audits in a row.

I care a lot about accuracy, I like finding practical solutions on my own, and I’m comfortable working remotely and taking full ownership of my work. I’m excited about the chance to help Coinspaid make better decisions with clear, trusted data.

Data Analyst

Resume Infomation

Experience:
1 - 3 years
Category:
Analytics & BI
Type:
Full Time
Language:
English
Country:
Ireland

Education

  • University College Dublin
    Sep 2024 – Sep 2025 MSc in Data and Computational Science
  • University of Mumbai
    Aug 2019 – May 2023 B.E. in Electronics Engineering

Work Experience

  • Teleperformance Ireland
    May 2026 – Present Ireland
    Customer operations expert
    Track and analyse service performance metrics such as SLA, AHT and resolution rates every day.
    Maintained a 90%+ quality score every month, including 8 consecutive 100% quality audits.
    Spot recurring issues in the data and propose practical improvements to team leads independently.
  • Heart Rhythm Ireland
    Oct 2026 – Mar 2026 Ireland
    Sales and Business Development Intern
    Identified the right data sources and storage for reporting needs across CRM, Azure, Snowflake and finance systems.
    Extracted, cleaned and analysed large datasets with SQL, Python and Excel from databases and spreadsheets.
    Cross-checked and reconciled sales and payment data with Finance to guarantee accuracy in every report.
    Built 8+ Tableau and Power BI dashboards from scratch with calculated fields, parameters and filters.
    Prepared monthly and ad hoc reports on revenue, costs, margins and growth, with clear conclusions for management.
    Monitored company performance metrics and proposed data-driven solutions to business challenges.
    Automated recurring reporting, cutting manual work by 60% and improving report accuracy.
  • Technobind Solutions Pvt. Ltd.
    Jun 2026 – Aug 2024 Mumbai, India
    Technical Consultant
    Analysed large datasets from many client systems and built monitoring dashboards for client teams.
    Validated data quality across sources and reported findings and recommendations to stakeholders.
    Worked with financial services clients and cross-functional teams in different locations.
    Prepared clear reports with visualisations and conclusions for technical and management audiences.
  • Autobot Dynamics
    Jul 2021 – Oct 2021 Mumbai, India
    Maintained Excel trackers for components, test results and project progress.
    Recorded and checked test data for accuracy, flagging errors and inconsistencies to engineers.
    Prepared simple summary reports with charts to help the team track issues and progress.
    Kept technical documentation organised and up to date.

Professional Skills

  • Excel / Google Sheets (pivot tables, lookups, complex formulas)
    90%
  • SQL
    85%
  • Power BI (DAX, Power Query)
    90%
  • Tableau (calculated fields, LOD expressions, parameters, filters)
    75%
  • Data cleaning and validation
    90%
  • Data reconciliation across sources
    85%
  • Financial and business metrics (revenue, costs, margins, growth)
    85%
  • Python (pandas)
    80%
  • Reporting and data visualisation
    90%
  • Snowflake / Databricks / Azure
    70%
  • Statistics and data analysis
    85%
  • Communication and stakeholder reporting
    90%