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Data Analyst with less than a year in SQL, Python, and Power BI
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Analytical and detail-oriented Data Analyst skilled in SQL, Python, Power BI, Tableau, and Excel with expertise in data cleaning, visualization, dashboard development, and performance analysis. Experienced in transforming raw datasets into actionable business insights through exploratory data analysis, KPI reporting, and interactive dashboards. Proficient in Power Query, DAX, Pandas, NumPy, and Matplotlib for data analytics and automation. Seeking an entry-level Data Analyst role to contribute to data-driven decision-making and business growth.
VTU, Belagavi
BE · Computer Science and Engineering
August 1, 2021 – June 30, 2025
Elevate Labs
Data Analyst Intern
October 1, 2025 – December 31, 2025
India
Sales Performance Analysis
January 1, 2025 – June 1, 2026
Designed a relational sales database containing customer, product, order, and transaction data to simulate real-world business operations. Developed SQL queries using JOINS, GROUP BY, Aggregate Functions, and filtering techniques to analyze revenue, profit, customer behavior, and product performance. Performed exploratory data analysis using Python (Pandas, NumPy, and Matplotlib) to identify sales trends and purchasing patterns. Generated actionable business insights by evaluating top-performing products, customer spending behavior, and regional sales performance. Applied analytical techniques to support performance evaluation and business reporting.
View ProjectSuperstore Analysis
January 1, 2025 – June 1, 2026
Developed interactive Tableau dashboards analyzing sales, profit, discount impact, and product performance across different regions and categories. Created category-wise and region-wise visualizations to identify business trends, growth opportunities, and profitability patterns. Evaluated the relationship between discounts and profitability to identify factors affecting business performance. Built KPI-focused dashboards enabling data-driven decision-making and business intelligence reporting. Delivered insights through interactive visual analytics and data storytelling techniques.
View ProjectRetail Sales Dashboard
January 1, 2025 – June 1, 2026
Built an end-to-end interactive Power BI dashboard to analyze sales, profit, customer behavior, and regional performance. Performed data cleaning and transformation using Power Query by handling missing values, duplicates, and inconsistent data formats. Created DAX measures and KPIs including Total Sales, Total Profit, Profit Margin, Average Order Value (AOV), and Monthly Growth. Developed interactive dashboards with KPI cards, slicers, drill-through functionality, trend analysis, and dynamic visualizations. Generated actionable business insights by identifying top-performing products, profitable regions, and sales growth opportunities.
View ProjectCertified Python Associate (CPA)
Accredion.org
January 1, 2026 – Present
P.G. Diploma in Data Analytics & Business Analytics
Zenoffi E – Learning Labb
January 1, 2025 – January 1, 2026
Cultural Fit Analysis
The candidate's projects cover diverse aspects of data analysis, including sales performance, superstore analysis, and retail sales, indicating a broad interest in applying data analytics across different business domains. The technologies used (SQL, Python, Power BI, Tableau, Excel) are highly relevant to a Data Analyst role, suggesting a strong alignment with typical industry requirements. The combination of academic background (Computer Science) and practical project experience, along with certifications, shows a proactive approach to skill development. The candidate's profile aligns well with a data-driven culture.
Soft Skills & Operational Fit
The candidate demonstrates a structured approach to data analysis and reporting, as evidenced by their project descriptions. Their collaboration with team members during the internship suggests an ability to work effectively in a team environment. The focus on delivering actionable insights indicates a results-oriented mindset. However, without direct assessment data on soft skills, this remains an inference.