Power BI Developer with 4+ years in Power BI & SQL
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Analytical and results-driven Data Analyst with 5 years of experience delivering impactful dashboards, automated reporting solutions, and data-driven insights across FMCG, retail, and e-commerce environments. Strong expertise in Power BI, SQL, Power Query, DAX, ETL pipelines, and data modeling.
Karpagam Academy of higher education
Bachelor of Commerce · Professional Accounting
August 1, 2018 – June 30, 2021
NIQ (Nielseniq)
Data Processing Analyst
June 1, 2022 – Present
India
TCS
Information Processing Specialist
August 1, 2021 – June 1, 2022
India
Beer Variety & Packaging Performance Dashboard
June 1, 2026 – Present
Analyzed beer product varieties across brands, pack sizes, alcohol types, and price tiers using structured FMCG and e- commerce data. Identified top-performing brands and SKUs based on availability, pricing consistency, and attribute completeness at UPC/barcode level. Standardized key attributes (brand, ABV %, pack size, category, flavor, packaging) to improve data accuracy and reporting consistency. Performed data cleansing, validation, and duplicate checks in Excel to resolve inconsistencies across product listings. Delivered actionable insights on category gaps, assortment coverage, and attribute-level issues to support business and reporting teams.
Walmart Sales Analysis - (Self-Initiated Power BI Project)
June 1, 2026 – Present
Analyzed 14,959 rows of sales data spanning 3 years to build an interactive Sales Overview Dashboard in Power BI. Evaluated month-wise sales % and profit trends using line charts and KPIs to identify seasonal patterns and performance fluctuations. Visualized regional sales distribution using map visuals and analyzed contribution impact through waterfall charts. Identified top 6 product categories, with the highest category generating ₹12.1M in sales, using bar and customized charts. Designed intuitive dashboards using KPI cards, gauge charts, bar charts, and custom visuals to enable quick business insights and decision-making.
Power BI Essential Training
LinkedIn Learning
June 1, 2026 – Present
Cost Accounting
NPTEL
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's experience across market research (NIQ) and IT services (TCS) with a focus on FMCG and e-commerce data indicates adaptability to different business domains. Their self-initiated Power BI project shows initiative and a passion for the field. The collaboration with cross-functional teams and adherence to SOPs suggest a team-oriented and structured approach, which generally aligns well with corporate cultures. However, the project diversity is limited to Power BI dashboards, and the breadth of technologies outside of the Microsoft BI stack is narrow, which might limit cultural fit in environments requiring broader data engineering or analytics skills.
Soft Skills & Operational Fit
The candidate demonstrates strong operational fit through their experience in Agile environments, collaboration with cross-functional teams, and focus on improving efficiency and accuracy. Their project descriptions highlight a results-driven approach and an ability to translate data into business insights. The emphasis on self-service dashboards and user engagement suggests a proactive and user-centric mindset.