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Data Analyst with less than a year in SQL, Python, & Power BI
AI is analyzing your overall score…
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Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Aspiring Data Analyst with hands-on experience through self-initiated projects using SQL, Python, Excel, and Power BI to collect, clean, and analyze data. Skilled in building reports and dashboards, identifying trends, and supporting data-driven decisions.
Lords Institute of Engineering and Technology
B.E · Artificial Intelligence and Machine Learning
August 1, 2021 – June 30, 2025
Detente Technologies
AI Intern
October 1, 2025 – December 1, 2025
Hyderābād, Telangana, India
Retail Orders – Sales and Regional Performance
June 17, 2026 – Present
Extracted and cleaned 50,000+ retail order records using Python (Pandas) and MySQL, creating a structured dataset ready for business analysis. Inspected sales by product, category, and region using SQL aggregations, identifying the top 10 products contributing 35% of total revenue. Built monthly and yearly sales trend tables in MySQL, revealing double-digit growth in key product categories across 2 years. Visualized revenue, order volume, and regional performance in Power BI, enabling faster KPI tracking for 6+ business metrics.
View ProjectBike-Sharing Revenue and Profitability Analysis
June 17, 2026 – Present
Modeled revenue, cost, and profit for 18,000+ ride records using SQL and pricing tables, converting raw ride data into financial metrics. Calculated profit margins by season, rider type, and year using MySQL queries, showing which segments generated over 60% of total profit. Scrutinized daily and monthly demand trends in SQL, identifying peak months contributing 40% of annual revenue. Built an interactive Power BI dashboard to track riders, revenue, costs, and profit, replacing manual Excel reports with real-time insights.
View ProjectZepto - Retail Inventory and Pricing Analysis
June 17, 2026 – Present
Processed and examined 10,000+ product records using Python and MySQL to understand pricing, discounts, and category structure. Evaluated discount depth and MRP vs selling price using SQL, identifying categories with up to 25-40% price reductions. Segmented products by category and pack size using SQL queries, uncovering which categories dominated inventory volume. Created structured analysis tables to compare price ranges and product mix, enabling clear visibility into Zepto's retail strategy.
View ProjectCultural Fit Analysis
The candidate's projects demonstrate a proactive, self-starter attitude, which is a positive indicator for cultural fit in dynamic environments. The diversity of projects (retail, bike-sharing, inventory) shows adaptability and a broad interest in applying data analysis across different domains. The AI/ML education background, while not directly a Data Analyst degree, provides a strong analytical foundation. The candidate's focus on practical, business-oriented outcomes in projects aligns well with a results-driven culture.
Soft Skills & Operational Fit
The candidate's project descriptions indicate an ability to translate raw data into actionable business insights, suggesting good problem-solving and analytical thinking. The AI Intern role, though brief, shows exposure to data processing and validation within a project context. However, without specific psychometric or English test results, a comprehensive assessment of soft skills, work attitude, stress handling, and team collaboration is not possible.