Power BI specialist with 5 years of end-to-end BI development experience
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Power BI specialist with 5 years of end-to-end BI development experience across financial services and FMCG environments — from requirements gathering and data modelling through to production deployment and stakeholder adoption. I hold the Microsoft Power BI Data Analyst Associate (PL-300) certification, Sia Partners' mandatory requirement, and have built DAX measures, Power Query (M) transformations, data models, and performance-optimised dashboards that senior leadership and operations teams use day to day. My SQL foundation is strong — complex joins, window functions, aggregations, and transformation logic that feeds reporting layers — and I have hands-on ETL pipeline experience across Python, SQL, and Power Query, including staging layer design and data quality validation.
Five years across BFSI (IndusInd Bank, Aeon Credit Service India, Dun & Bradstreet India) and FMCG (Kamaths Ourtimes Icecreams) means the financial and operational data context Sia Partners' clients work with isn't new to me. AWS Certified Solutions Architect – Associate (SAA-C03). MBA Finance, St.
Xavier's Institute of Management and Research, Mumbai.
Assistant Manager – MIS and Technical Support - Kamaths Ourtimes Icecreams Pvt. Ltd.
(2025-08 - 2025-12)
Led end-to-end Power BI development for supply chain and operational analytics — from requirements gathering with senior management, through data model design, DAX measure development, and Power Query transformations, to production deployment and adoption. Before this, operational data lived in disconnected spreadsheets that nobody trusted enough to present to leadership.
Designed the underlying semantic model from scratch: connected multiple operational source systems into a unified staging layer with consistent dimension definitions and KPI hierarchies. Getting the model architecture right before building the visuals was what made the dashboards reliable and maintainable. Built SQL views and Python scripts to extract and transform raw source data into a clean reporting layer, implementing data quality validation and reconciliation checks that caught discrepancies before they surfaced in reports.
Rebuilt MIS ETL workflows in Python and SQL, reducing manual effort by around 60% and eliminating a class of transformation errors that had been causing recurring data integrity problems. Maintained documentation of data schema, transformation logic, and KPI definitions to ensure the team
Deputy Manager – Credit Risk Analysis (Wholesale Portfolio) - IndusInd Bank Ltd.
(2025-12 - 2026-03)
Owned the production and delivery of CRMC/RMC risk dashboards and reports for senior risk leadership — zero errors across monthly cycles on CRILC, RBI, IFSCA, and BLS submissions. The data fed capital calculations, so accuracy and consistency weren't negotiable. Managed data quality and integrity across a wholesale borrower database of roughly 5 lakh records, tracing and resolving discrepancies in counterparty exposure data — the kind of root-cause SQL investigation and data lineage thinking this role requires.
Defined and enforced KPI standards across risk reporting outputs, ensuring metrics were applied consistently across cycles and documented for audit purposes.
Assistant Manager – Data Analytics - Aeon Credit Service India Pvt. Ltd.
(2022-04 - 2025-08)
Built and maintained Tableau and Power BI dashboards for collections performance and portfolio analytics, used daily by operations teams and presented to senior leadership monthly. Developed DAX measures for trend analysis, month-over-month comparisons, and segment-level drill-through. Collection efficiency improved 30% after the dashboards went live.
Designed end-to-end SQL ETL pipelines pulling data from multiple source systems, applying transformation logic, and loading into the analytics layer. Ran reliably on monthly cycles for over three years, with documented data lineage and quality checks at each stage. Built a Python and SQL classification model for loan approval risk scoring that improved accuracy by 15%.
Sat with the credit team to gather requirements, translated those into a data model and scoring logic, and delivered an output format they could actually use in daily decisions. Owned KPI definitions and reporting standards for the credit and collections functions, pushing back when business teams tried to change metric definitions mid-cycle in ways that would break comparability across periods. Collaborated with junior analysts on data preparation and reporting quality
Associate Financial Research Analyst - Dun & Bradstreet India - Mumbai
(2021-03 - 2022-02)
Collected, cleaned, and structured financial data from multiple sources to produce credit risk assessments for institutional clients. Built rigorous data validation habits early — institutional clients making lending decisions from these reports left no room for output errors. Presented findings to internal stakeholders and incorporated feedback into report structures, developing the communication skills this role requires for working across technical and non-technical international audiences.
MBA - Finance - St. Xavier's Institute of Management and Research (2021-03)
M.Com - Accounts and Finance - K. J. Somaiya College of Arts and Commerce (2019-03)
B.Com - K. J. Somaiya College of Arts and Commerce (2017-03)
