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Data with less than a year in SQL, Excel & Power BI.
Detail-oriented and results-driven Data Analyst Fresher with hands-on experience in SQL, Excel, Power BI. Proficient in end-to-end data workflows including data extraction, cleaning, transformation, and dashboard development. Experienced in writing SQL queries, building interactive KPI dashboards with Power BI DAX measures, and performing customer segmentation and data-driven business analysis. Familiar with Azure Data Factory and Azure Databricks for cloud-based data integration. Adept at translating complex datasets into actionable insights through data visualization, KPI reporting, and cross-functional collaboration. Actively seeking a Data Analyst opportunity to contribute to data-driven decision-making.
BhojReddy Engineering College for Women
Bachelor of Technology (B.Tech)
August 1, 2021 – June 30, 2025
Sri Gayatri Junior College
Intermediate (MPC)
June 1, 2018 – May 31, 2020
Cambridge High School
Secondary School Certificate (SSC)
June 1, 2017 – May 31, 2018
Customer Shopping Behavior Analysis
January 1, 2026 – June 1, 2026
Analyzed 3,900 customer transactions across 18 features to identify shopping trends, customer segments, and revenue drivers. Cleaned and transformed raw data using Python (Pandas); handled missing values through median imputation and performed feature engineering by creating customer age groups and purchase frequency metrics. Loaded processed data into PostgreSQL and developed SQL queries to analyze customer behavior, subscription patterns, product performance, revenue contribution, and repeat purchases. Built an interactive Power BI dashboard with KPIs, dynamic filters, and visualizations to track customer demographics, revenue trends, subscription insights, and product performance. Generated business recommendations highlighting opportunities for subscription growth, customer retention, targeted marketing, and discount optimization.
Mobile Sales Analytics Dashboard
January 1, 2026 – June 1, 2026
Extracted and queried structured sales datasets using SQL for downstream reporting and analysis. Executed ETL operations in Power Query including data type standardization, null handling, column transformations, and data merging across multiple sources. Created DAX measures — Total Sales, Average Sales per Product, Total Quantity Sold, Total Transactions — to support KPI tracking and performance benchmarking. Designed dynamic filters for region, brand, and product model using slicers and drill-through functionality, enabling self-service analytics. Established data model relationships between multiple tables to enable accurate cross-table analysis and consistent reporting across all visuals.
Sales Executive Performance Dashboard
January 1, 2026 – June 1, 2026
Performed end-to-end data cleaning and preparation on raw sales data using Excel formulas, filters, and deduplication to ensure data accuracy and consistency. Developed an interactive Excel dashboard integrating Pivot Tables, Pivot Charts, and Slicers to visualize total sales, top-performing executives, regional breakdowns, and monthly trends. Implemented conditional formatting and color-coded KPI indicators for instant identification of high- and low-performance regions, improving stakeholder reporting readability. Conducted data analysis to identify underperforming target regions and translated findings into actionable insights supporting sales strategy and decision-making.
Power BI Certification
Simplilearn
June 1, 2026 – Present
Microsoft Azure Fundamentals (AZ-900)
In Progress
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's projects are all academic, focusing on core data analysis and visualization tasks. While they align well with a Data Analyst role, the lack of professional experience or diverse project types (e.g., open-source contributions, volunteer work) limits the assessment of cultural fit beyond technical alignment. The certifications in Power BI and in-progress Azure Fundamentals show initiative and a desire for continuous learning, which are positive indicators for cultural fit in a growth-oriented environment. However, the overall breadth of experience is narrow, primarily centered on academic exercises.
Soft Skills & Operational Fit
The candidate demonstrates a detail-oriented and results-driven approach through their project descriptions, focusing on end-to-end data workflows and actionable insights. Their academic projects highlight an ability to work independently on data analysis tasks. The emphasis on dashboard development and KPI reporting suggests a focus on delivering tangible outputs for stakeholders. However, without professional experience or psychometric test results, it's difficult to assess stress handling, team collaboration, or adaptability in a professional operational setting.