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Data Analyst with less than a year in a dynamic environment.
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Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Detail-oriented Data Analyst with strong skills in Power BI, SQL, Excel, and Python for data visualization and analysis. Proficient in data cleaning, reporting, and deriving actionable insights to support business decisions. Hands-on experience with dashboard creation, automation, and KPI tracking. Eager to apply analytical skills to drive data-driven solutions in a dynamic environment.
CMR Engineering College
B.Tech · Computer Science and Engineering
August 1, 2019 – July 1, 2023
Prathibha Junior College
Intermediate · MPC
July 1, 2017 – March 1, 2019
Blinkit Analysis
June 28, 2026 – Present
Developed an interactive Power BI dashboard for Blinkit, optimizing data visualization and real-time insights, improving operational efficiency by 30%. Automated sales, inventory, and delivery performance tracking, reducing manual reporting time by 40% and enhancing decision-making. Integrated multiple data sources (SQL, APIs, Excel) to provide a unified view, increasing data accuracy by 25% and enabling proactive strategy adjustments. Designed DAX measures and custom KPIs, leading to a 20% improvement in demand forecasting and reducing stockouts.
Sales Insights
June 28, 2026 – Present
Created an automated dashboard for a computer hardware business facing challenges in scaling within a dynamically changing market and lacking actionable insights. Performed data analysis using SQL and Power BI to track revenue growth, year-over-year (YOY) trends, and region-wise sales performance. The dashboard enabled quick, data-informed decisions, effectively displaying sales trends and potentially raising revenue by at least 7% in the next quarter.
Walmart Sales Data Analysis
June 28, 2026 – Present
Utilized SQL to extract and analyze Walmart sales data, leveraging Python (Pandas, Matplotlib) for data visualization, resulting in a 25% improvement in sales trend forecasting accuracy. Automated sales reporting and data processing with SQL and Python, reducing manual effort by 40% and accelerating decision-making timelines by 30%. Performed detailed sales analysis with SQL and Python, identifying key performance trends that led to a 15% increase in inventory optimization and a 20% reduction in stockouts.
Career Essentials in Data Analysis
Microsoft and LinkedIn
June 1, 2026 – Present
Tata Group's Data Visualisation: Empowering Business with Effective Insights
Forage
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's projects showcase a practical, results-oriented approach to data analysis, which aligns well with a data-driven organizational culture. The diversity of projects (e-commerce, hardware business) indicates adaptability and a willingness to apply skills across different domains. The certifications further demonstrate a proactive attitude towards learning and skill development, suggesting a good cultural fit for continuous improvement and growth.
Soft Skills & Operational Fit
The candidate demonstrates problem-solving and critical thinking skills through project descriptions, where they identified business challenges and proposed data-driven solutions. Their project work also implies an ability to work with diverse data sources and automate processes, indicating good operational fit for data analysis roles. However, without specific behavioral assessment data, a deeper evaluation of stress handling or team collaboration is not possible.