Data with less than a year in data cleaning, analysis, and visualization
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Aspiring Data Analyst with hands-on experience in data cleaning, analysis, and visualization using Microsoft Excel and Power BI. Skilled in deriving actionable insights from data through real-world projects in sales and inventory analysis. Strong business understanding with practical experience in managing operations and data-driven decision-making.
Gurunanak Institute of Technology
B.Tech · Electrical and Electronics Engineering
August 1, 2017 – June 30, 2021
Sales Data Analysis Dashboard
June 19, 2026 – Present
Built an interactive dashboard to analyze sales performance across regions, categories, and products. Identified key insights such as top-performing category (Technology) and peak sales period (November). Created visualizations including bar charts, pie charts, and line charts. Implemented slicers for dynamic filtering and improved user interaction.
Inventory Analysis Dashboard
June 19, 2026 – Present
Developed an interactive dashboard to monitor stock levels, revenue, and supplier performance. Created calculated columns such as total revenue and inventory value. Identified overstock and stockout risks using stock and sales comparison. Analyzed supplier contribution to support procurement decisions. Implemented slicers for filtering by category, supplier, and time.
Cultural Fit Analysis
The candidate's focus on personal projects in data analysis and visualization indicates a self-starter attitude and a passion for the field. The projects align well with a data-centric role. However, the absence of team-based projects or professional experience limits the assessment of cultural fit in a collaborative work environment.
Soft Skills & Operational Fit
The candidate demonstrates a practical problem-solving approach and a strong interest in data analytics, which aligns with a data-driven operational environment. The ability to translate data into business insights is a positive indicator for operational fit. However, the lack of professional experience makes it difficult to assess collaboration and stress handling.