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Data Analyst with 2+ years in Business Intelligence, Reporting & Data Analytics
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Data Analyst with 2.5+ years of experience in business intelligence, reporting, and data analytics. Skilled in MS Excel, Power BI, Microsoft Dynamics 365 CRM, Tableau, and SQL for building interactive dashboards, automating reports, and deriving insights. Proven record of optimizing data processes, reducing reporting effort by 30%, and improving business decision-making through data-driven solutions.
Sri Venkatesa Perumal College of Engineering & Technology
Master of Computer Applications (MCA)
N/A – June 30, 2025
Sri Venkateswara College, Tirupati
BSc Computer Science · Computer Science
N/A – June 30, 2023
Forsan Foods & Consumer Products
Associate - Data Analyst (BI Tools & Reporting)
November 1, 2024 – December 1, 2025
India
Novac Technology Solutions, Chennai
Associate – BI Developer & Analyst
May 1, 2023 – September 1, 2024
Chennai, Tamil Nadu, India
Retail Sales Dashboard
June 21, 2026 – Present
• Developed a Power BI dashboard to track invoices, total sales, quantities, and unit prices. • Created visuals by location, department, payment type, and monthly trends. • Implemented dynamic date filters, automated refresh schedules, and DAX-based calculations.
Fast Food & Business Central BI Dashboards
June 21, 2026 – Present
• Automated ETL pipelines with API integrations and scheduled refreshes in Power BI for onboarding, product tracking, and dine-in and takeaway performance. • Built grocery and sales credit memo dashboards using Dynamics 365 data, delivering real-time insights on sales, VAT, cost, and quantity metrics. • Developed advanced DAX measures, dynamic slicers, and RLS for 50+ users, reducing manual analysis effort by 35%.
Toyota Automobile Domain
June 21, 2026 – Present
• Designed and deployed KPI-driven dashboards, including charts, maps, and Gantt charts, improving reporting efficiency by 25%. • Optimized SQL queries and data models, achieving 99% reporting accuracy. • Automated data extraction and subscription schedules, reducing manual refresh efforts and ensuring on-time delivery to stakeholders.
Cultural Fit Analysis
The candidate has experience across diverse industries (fast food, retail, automotive) and has worked with various data sources and BI tools, suggesting adaptability. The focus on automating processes and delivering real-time insights aligns with a data-driven culture. The mention of supporting 50+ users with RLS and resolving ad-hoc requests indicates a service-oriented mindset, which is beneficial for team collaboration and stakeholder engagement.
Soft Skills & Operational Fit
The candidate's experience descriptions highlight a focus on efficiency improvements (reducing manual reporting time, improving load times) and reliability (99% SLA compliance), indicating a strong operational fit. The implementation of RLS and support for 24/7 BI operations suggest a commitment to data security and continuous service. The project descriptions imply an ability to translate business requirements into technical solutions.