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Data Analyst with less than a year in Business Analytics & Market Research
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MBA graduate specializing in Business Analytics and Marketing with experience in data analysis, business intelligence, and market research. Proficient in SQL, Excel, dashboard development, statistical analysis, and KPI reporting, with a strong ability to convert complex data into actionable business insights. Demonstrated success in independently managing analytical projects, collaborating with cross-functional teams, and delivering recommendations that support strategic decision-making. Seeking opportunities in Business Analytics and Data Analytics.
Presidency University
MBA · Business Analytics & Marketing
August 1, 2024 – June 30, 2025
MS Ramaiah University of Applied Sciences
Bachelor of Pharmacy · Pharmacy
August 1, 2018 – June 30, 2023
SUKINO HEALTHCARE
HR Executive
August 1, 2025 – October 1, 2025
Bengaluru, Karnataka, India
INFOPACE MANAGEMENT LTD
Research Intern
August 1, 2024 – October 1, 2024
Bengaluru, Karnataka, India
Sales & Market Basket Analysis – Retail Business Intelligence
April 1, 2026 – May 1, 2026
Performed exploratory data analysis on a retail transaction dataset (5,000+ records) using SQL to identify top-selling product categories, seasonal demand trends, and revenue drivers by region. Used SQL window functions and CTEs to build a sales performance ranking model, segmenting stores by revenue contribution and flagging underperforming locations for targeted intervention. Built an Excel BI dashboard with dynamic slicers, PivotTables, and KPI cards tracking monthly sales, average order value, and customer retention rates – enabling data-driven inventory and pricing decisions. Documented methodology, data sources, and business insights in a structured report with actionable recommendations on product bundling and promotional timing to drive revenue growth.
E-Commerce Campaign Analytics Dashboard
January 1, 2026 – March 1, 2026
Extracted and cleaned campaign data using SQL (JOINs, GROUP BY, CASE WHEN) across email, social media, and promotional channels, loading outputs into Excel for structured analysis. Calculated campaign KPIs - click-through rates, conversion rates, and customer response rates - using SQL aggregations and visualised results in a multi-tab Excel dashboard with pivot tables and charts. Segmented customers by demographics and behaviour using SQL subqueries, then analysed conversion funnel drop-offs using Excel PivotTables and INDEX-MATCH to identify high-performing segments. Exported SQL query outputs into Excel to generate a structured performance report with actionable optimization recommendations for future campaign cycles.
Customer Perception of AI in Healthcare – Market Research Study
March 1, 2025 – May 1, 2025
Designed and executed end-to-end primary research (n=118) — defined objectives, built structured questionnaire (Google Forms), managed data collection pipeline, and delivered full analysis independently. Applied advanced statistical methods (regression, correlation, hypothesis testing, cross-tabulation) in SPSS to identify key adoption drivers: trust, data privacy concerns, and awareness gaps. Built a multi-tab Excel performance dashboard (pivot tables, dynamic charts) tracking segment level findings and survey response patterns, enabling visual insight delivery to stakeholders. Delivered consulting-style PowerPoint presentation to faculty panel; findings adopted for further institutional review. Translated outputs into plain-language executive summary for non-technical audiences.
Cultural Fit Analysis
The candidate's project diversity (e-commerce, healthcare, retail) and academic background in Business Analytics & Marketing indicate a broad interest and adaptability. Their involvement in community engagement (Green Sunday) and managing a stall (Namma Bazaar) suggests a proactive and collaborative mindset. The target role of Data Analyst aligns well with their stated professional summary and project experiences, indicating a clear career path and potential for cultural integration.
Soft Skills & Operational Fit
The candidate demonstrates strong analytical thinking, stakeholder communication, and autonomous execution, which are crucial for a Data Analyst role. Their experience in cross-functional collaboration and adaptability, as seen in diverse project types (e-commerce, healthcare, retail), suggests a good operational fit. The 'Best Orator' award highlights strong presentation skills, vital for communicating insights.