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Data Analyst with less than a year in Power BI, SQL, and Excel.
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Bhoomi Jaiswal is an aspiring Data Analyst with strong technical skills in Exploratory Data Analysis (EDA), Data Cleaning, Data Preprocessing, and Trend Analysis. She is proficient in SQL for complex querying and relational data modeling, and skilled in Power BI for interactive dashboard development. Her expertise extends to advanced Excel functions and GitHub for version control. She has successfully completed projects involving Cricket Data Analytics and Superstore Sales Dashboard, demonstrating her ability to derive data-driven insights.
Shri Lal Bahadur Shastri Degree College
Bachelor of Arts (B.A.)
August 1, 2022 – June 30, 2025
Government Girls Inter College (GGIC)
Higher Secondary & Secondary Education
June 1, 2020 – May 31, 2022
Retail Sales Analysis using SQL
June 1, 2026 – Present
Designed and implemented the database and retail_sales table to manage transactional retail data. Performed data cleaning by identifying and removing records with missing or null values to ensure data accuracy and consistency. Conducted exploratory data analysis (EDA) using SQL to uncover trends in customer behavior, product categories, and time-based sales patterns. Developed analytical queries using JOINS, GROUP BY, subqueries, and window functions to answer key business questions such as top-selling categories and revenue distribution.
View ProjectCricket Data Analytics Pro
June 1, 2026 – Present
Developed an interactive data dashboard using ODI Cricket Data to analyze player performances and team statistics. Utilized Advanced Pivot Tables and Slicers to create a dynamic user experience for statistical filtering. Performed data cleaning on raw datasets to ensure consistency and accuracy in visual reporting. Documented the entire workflow on GitHub with a comprehensive README and video demonstration.
View ProjectSuperstore Sales Dashboard
June 1, 2026 – Present
Developed an interactive Power BI dashboard to analyze Superstore sales data, enabling data-driven business insights. Implemented dynamic slicers for Year, Month, and Day, along with visualizations for sales by category, sub-category, and region. Designed analytical views highlighting the Top 10 Products and Top 10 Cities based on sales quantity. Created key KPIs using DAX, including Total Quantity, Total Revenue, Total Profit, and Profit Percentage.
View ProjectO-Level Certification in Internet of Things (IoT)
Meena Shah Institute of Technology
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's projects are all academic, focusing on data analysis and visualization. While these align with a Data Analyst role, the lack of diverse project types or professional experience limits the assessment of cultural fit. The projects demonstrate a proactive learning approach and an interest in data-driven insights, which are positive indicators for a data-centric culture. However, the absence of team-based projects or contributions to open-source initiatives makes it hard to gauge collaboration and broader cultural alignment.
Soft Skills & Operational Fit
The candidate's project descriptions indicate an ability to document workflows (GitHub README) and present findings (video demonstration), suggesting good communication and presentation skills. The focus on creating interactive dashboards implies an understanding of user needs and data visualization best practices. However, without actual work experience, operational fit regarding teamwork, project management, and handling real-world business complexities is difficult to assess.