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Senior Data Analysis with 2+ years in SQL, Python, Power BI, and Advanced Excel.
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Assessing your cultural and operational fit
Data Analyst with hands-on experience in SQL, Python, Power Bl, and Advanced Excel for data analysis, KPI reporting, and business intelligence solutions. Skilled in data validation, reporting automation, EDA, and transforming large datasets into actionable business insights. Experienced in trend analysis, stakeholder reporting, and improving reporting efficiency through analytical and data-driven solutions.
RTMNU
Bachelor of Engineering (B.E) · Mechanical Engineering
N/A – June 30, 2020
Gondwana University
Masters of Business Administration (MBA) · Information Technology
N/A – June 30, 2024
Softgrowth Infotech
Data Analyst
May 1, 2024 – Present
Chandrapur, Maharashtra, India
Blinkit Sales Analysis
June 24, 2026 – Present
Developed an interactive business intelligence dashboard using Power BI to analyze sales performance, customer behavior, and product trends. Performed data cleaning, transformation, and KPI analysis to generate actionable business insights and improve reporting efficiency. Designed and developed interactive Power BI dashboards to monitor sales trends, revenue performance, and customer insights. Performed data cleaning, preprocessing, and transformation using Power Query, SQL, and Excel for accurate reporting. Created DAX measures, calculated columns, and KPI metrics to support business performance analysis. Conducted trend analysis and category-wise performance evaluation to identify growth opportunities. Automated reporting workflows to improve dashboard usability and reduce manual analysis efforts. Generated visual reports for stakeholder reporting and business decision-making.
Pizza Sales Analysis
June 24, 2026 – Present
Performed SQL-based sales analysis on pizza order datasets to identify revenue trends, customer ordering patterns, and top-performing product categories. Developed analytical queries and reports to support business decision-making and operational improvements. Wrote complex SQL queries using joins, aggregations, subqueries, and CTEs to analyze sales and order data. Analyzed daily, monthly, and category-wise sales trends to identify high-performing products and revenue drivers. Performed KPI analysis including total revenue, average order value, top-selling pizzas, and peak order timings. Conducted data validation and cleaning to ensure accuracy and consistency in reporting. Generated analytical reports and visual summaries to support business performance evaluation. Identified customer ordering patterns and sales insights to improve operational decision-making.
Cultural Fit Analysis
The candidate's projects show a focus on practical business problems (e-commerce sales, food & beverage sales), which aligns with a results-driven culture. The blend of technical skills (SQL, Power BI, Python) and business understanding (MBA in IT) suggests an ability to bridge technical and business teams. However, the limited professional experience (starting May 2024) and personal projects might indicate a need for more exposure to diverse team environments and corporate structures.
Soft Skills & Operational Fit
The candidate demonstrates an understanding of stakeholder collaboration and the importance of automating reporting workflows, indicating a focus on operational efficiency. The project descriptions highlight problem-solving through data analysis and a results-oriented approach.