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Associate Data Analyst with 1+ years in Data Visualization & SQL
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Motivated and analytical professional with 21 months of experience in data analysis, visualization, and database management. Proficient in Python, SQL, Power BI, and Excel, with a strong foundation in data preprocessing, exploratory data analysis, and creating interactive dashboards. Proven ability to uncover business insights and support data-driven decision-making through practical projects.
Aurora'S Scientific, Technological&Research Academy
Bachelor of Technology · Computer Science Engineer
June 19, 2017 – June 29, 2021
IIFL HOME FINANCE
Tele Communication
June 1, 2023 – February 1, 2025
India
Library Management System | SQL, MySQL
January 1, 2026 – Present
Designed and implemented a relational database for managing books, authors, borrowers, publishers, library branches, and loan transactions. Developed complex SQL queries using JOINs, GROUP BY, HAVING, aggregate functions, and subqueries to generate business reports and insights. Analyzed book inventory, borrower activity, branch-wise book availability, and loan records through SQL-based data retrieval. Implemented database operations to track book issues, returns, overdue books, and borrower details. Created reports for branch-wise book copies, active
Blinkit Business Dashboard | Power BI
January 1, 2026 – Present
Developed an interactive sales dashboard to track sales performance and KPIs. Performed data cleaning and transformation using Power Query and SQL. Created visualizations for sales trends, outlet performance, and product categories. Used DAX measures to calculate Total Sales, Average Sales, and Item Count. Generated business insights to support data-driven decision-making.
Retail Transaction Data Analysis using Python
January 1, 2026 – Present
Analyzed retail transaction datasets using Python to uncover trends in sales, customer purchases, and product performance. Applied data preprocessing techniques, including handling missing values, duplicates, and data inconsistencies. Created interactive and informative visualizations to communicate findings effectively to stakeholders. Identified key business opportunities through data analysis, enabling informed strategic decisions and operational improvements.
Amazon Sales Dashboard | Excel
January 1, 2026 – Present
Built an interactive dashboard using Pivot Tables, Charts, and Slicers. Analyzed sales by category, product, customer location, order status, and payment method. Generated insights to support business decision-making and trend analysis.
Python Programming
Innomatics Research Labs
June 1, 2026 – Present
SQL Query Optimization
SkillUp
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's projects demonstrate a proactive approach to learning and applying data analysis skills across various tools (Python, SQL, Power BI, Excel). The independent study for UPSC CSE shows a strong commitment to self-improvement and a broad intellectual curiosity. However, the professional experience is not directly related to data analysis, which might indicate a career transition. The projects are personal, which is good for an entry-level role, but lack team collaboration context. The target role is 'Associate Data Analyst', which aligns well with the skills demonstrated in personal projects.
Soft Skills & Operational Fit
The candidate's previous role in Tele Communication and independent study for UPSC CSE suggest strong communication, critical thinking, analytical skills, time management, and discipline. These are valuable for an Associate Data Analyst role, particularly in stakeholder communication and problem-solving. The project descriptions are clear and well-structured, indicating good written communication.