Resume

Data Analyst & Engineer based in Ireland.

Data Analyst and Engineer with 2+ years of experience as a Analyst working with data-centric systems. Skilled in Python, Pyspark, SQL, Tableau and Power BI. Ability to build data pipelines, optimize queries, and deliver actionable insights through dashboards and models. Recently completed MSc in Data Analytics, applying machine learning, statistical methods, and real-time analytics to solve practical business challenges.

Wok Experience - Professional journey

My professional experience working with various technologies and building solutions across different domains.

  • Data Analyst

    Capgemini • Mumbai, India • Sep 2021 – Aug 2024

    • •Capgemini is a global consulting and technology services firm; supported enterprise clients with reliable analytics, finance-style reporting and decision packs used by senior stakeholders.
    • •Partnered with operational and finance stakeholders to shape analysis requirements, confirm assumptions and convert “asks” into structured outputs (models, dashboards, and executive-ready summaries).
    • •Built Excel-based analytical models (drivers, scenarios, sensitivities) to support business cases and investment-style decisions, ensuring assumptions were clear and traceable.
    • •Built automated ETL pipelines using Python (Pandas) and SQL to extract, clean, validate, and publish analytics-ready datasets, reducing manual preparation time by 40%.
    • •Combined data from APIs, flat files, and internal databases into a unified reporting layer, cutting duplicate data pulls by 25% across teams.
    • •Implemented data quality controls (reconciliation, duplicates, threshold rules), reducing manual audit effort by 30% and improving confidence in reported numbers.
    • •Developed validation and reconciliation scripts in SQL and Python to ensure accuracy between source systems and reporting outputs, achieving 99%+ consistency on control checks for key datasets.
    • •Produced finance-style performance packs (weekly/monthly) with clear KPI commentary, improving reporting turnaround time by 25% during peak cycles.
    • •Created KPI definitions and a reusable metric layer to standardise reporting logic, reducing metric disagreements by 30% during reviews.
    • •Wrote and optimised complex SQL queries across large datasets, reducing report runtimes by 35% for high-traffic dashboards.
  • Software Developer Intern

    Sankey Solutions • Mumbai, India • Jan 2021 – Apr 2021

    • •Contributed to the design and development of a data-driven e-commerce analytics platform using Angular for visualization and Django for backend data processing.
    • •Integrated and managed MongoDB databases to store and query structured and semi-structured datasets including sales, users, and product metrics.
    • •Created RESTful APIs to fetch, transform, and aggregate transactional data for reporting dashboards and trend analysis.
    • •Optimized query performance and indexing strategies in MongoDB, reducing data retrieval latency by 20% during analytics operations.
    • •Collaborated with data and engineering teams in Agile sprints to validate metrics, test endpoints, and ensure data accuracy across the pipeline.