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Power BI Developer with less than a year in Data Analysis & Visualization.
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Assessing your cultural and operational fit
Detail-oriented Data Analyst with strong skills in Excel, SQL, Python, and Power BI. Experienced in data cleaning, data transformation, exploratory data analysis (EDA), dashboard development, KPI reporting, and business intelligence. Proficient in converting raw data into actionable insights through data visualization and analytical techniques. Seeking an entry-level Data Analyst position to support business decision-making through data-driven solutions.
Karpagam Academy of Higher Education, Coimbatore
Master of Science · Computer Science
August 1, 2023 – June 30, 2025
Employee Dashboard | Power BI
June 1, 2025 – June 1, 2026
Cleaned and transformed employee data using Power Query to ensure data accuracy and consistency. Developed interactive dashboards to analyse employee demographics, salary distribution, and performance metrics. Created KPIs and visualizations to track workforce trends, departmental insights, and employee retention. Enabled data-driven decision-making through drill-down reports and dynamic filtering capabilities.
Sales Analytics Dashboard | Power BI
June 1, 2025 – June 1, 2026
Analysed sales performance across products, regions, and customer segments to identify growth opportunities. Designed interactive dashboards to track revenue, profit, and sales trends over time. Built KPI reports to monitor business performance and support strategic decision-making. Provided actionable insights that helped improve sales efficiency and profitability.
E-Commerce Store Data Analysis | Excel
June 1, 2025 – June 1, 2026
Cleaned and organized e-commerce sales data using Excel functions and data validation techniques. Created Pivot Tables, Pivot Charts, and Slicers to analyze sales performance, customer behavior, and product trends. Monitored key metrics such as revenue, orders, and category-wise sales through an interactive dashboard. Generated business insights using data visualization and trend analysis to support decision-making.
Road Accident Analysis Dashboard | Excel
June 1, 2025 – June 1, 2026
Cleaned and prepared road accident data using Excel functions, data validation, and data cleaning techniques to improve data accuracy. Developed an interactive dashboard using Pivot Tables, Pivot Charts, Slicers, and KPI metrics to analyse accident and casualty trends. Analysed casualties by severity, vehicle type, road type, road surface conditions, and location to identify high-risk factors. Generated actionable insights through data visualization and trend analysis to support road safety and accident prevention initiatives.
Titanic Data Cleaning | Python
June 1, 2025 – June 1, 2026
Loaded and examined the Titanic dataset using Pandas (read_csv(), head(), info()) to understand the data structure and quality. Identified missing values and duplicates using isnull().sum() and duplicated().sum() functions. Handled missing data by applying fillna() with median values and removed unnecessary null values to improve data consistency. Saved the cleaned dataset for further analysis using to_csv(), ensuring a structured and error-free dataset.
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June 1, 2026 – June 1, 2026
Cultural Fit Analysis
The candidate's projects demonstrate a diverse application of data analysis skills across different domains (HR, Sales, E-commerce, Public Safety), indicating adaptability and a broad interest in leveraging data. The pursuit of a Master's degree while working on personal projects shows initiative and a drive for self-improvement, which aligns with a growth-oriented culture. However, the lack of team-based projects or professional experience makes it difficult to fully assess collaboration and cultural integration.
Soft Skills & Operational Fit
The candidate's project descriptions highlight problem-solving, critical thinking, and analytical thinking, which are crucial for a Power BI Developer role. The focus on converting raw data into actionable insights suggests a business-oriented mindset. However, without direct work experience, the operational fit regarding collaboration in a professional team setting and handling real-world project complexities is yet to be validated.