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Data Analyst with less than a year in SQL, Python, and Power BI for data 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
Data Analyst skilled in SQL, Python, Excel, Power BI and Tableau, with strong abilities in data cleaning, analysis, dashboards and KPI tracking. Experienced in generating insights, organizing datasets and supporting decision-making through clear reporting, visualization and analytical problem-solving.
Amravati University
Bachelor of Computer Application
N/A – June 30, 2024
Imarticus Learning
Post Graduation Program · Data Science and Analytics
N/A – June 30, 2026
E-commerce Sales Performance Analysis - Excel-Python-Tableau
June 1, 2026 – Present
Analyzed e-commerce sales data using Python, SQL, and Excel to identify sales trends, top-performing products, and customer purchasing patterns. Performed data cleaning, preprocessing, and exploratory data analysis (EDA) using Pandas, NumPy, and Matplotlib for business insight generation. Developed interactive dashboards in Power BI to monitor KPIs such as revenue, profit, sales growth, and regional performance. Evaluated product category performance and customer behavior to support data-driven decision-making and business strategy optimization. Generated visual reports and actionable insights to improve sales analysis, operational efficiency, and overall business performance.
Customer Behaviour and Segment Analysis – Excel-SQL- Python-Power Bi
March 1, 2025 – April 1, 2025
Analyzed customer behavior data using Python, SQL, and Excel to identify purchasing patterns, customer trends, and business insights. Performed data cleaning, preprocessing, and exploratory data analysis (EDA) on large customer datasets using Pandas and NumPy. Built interactive dashboards and visualizations in Tableau/Power BI to track customer engagement, sales performance, and segmentation metrics. Applied customer segmentation techniques to classify customers based on purchasing behavior and improve targeted business decision-making.
Deloitte Data Analytics Job Simulation Certificate
Forage
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's academic projects demonstrate a focus on practical application of data analysis skills in business contexts (customer behavior, e-commerce sales). The Deloitte certification further indicates an interest in real-world consulting workflows. This suggests a proactive learning attitude and alignment with data-driven organizational cultures. The breadth of tools used (SQL, Python, Excel, Power BI, Tableau) shows versatility. However, the lack of professional experience limits the assessment of collaboration and adaptability in a team environment.
Soft Skills & Operational Fit
The candidate's project descriptions indicate an ability to generate insights, organize datasets, and support decision-making, which suggests good analytical reasoning and problem-solving skills. The Deloitte certification also points to an understanding of structured reporting and data quality checks, crucial for operational fit. However, without direct work experience, the practical application of these soft skills in a professional setting is unproven.