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Data Analyst with less than a year in Python, SQL & Power BI for actionable business insights.
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Motivated Data Analyst equipped with a Bachelor's in Computer Science and certified expertise in Data Science and Analytics. Proficient in leveraging Python, SQL, Power BI and Excel to extract, clean, and visualize complex datasets. Proven ability to build end-to-end data pipelines and interactive dashboards that deliver actionable business insights and drive strategic decision making.
Pune University
Bachelor of Computer Science (BCS) · Computer Science
August 1, 2022 – June 30, 2025
Customer Shopping Behavior Analysis
June 1, 2026 – Present
Engineered a data pipeline using Python (Pandas, SQLAlchemy) to extract, clean, and load a dataset of 3,900 customer transactions into a SQL Server database for structured analysis. Executed complex SQL queries to uncover purchasing patterns, segmented customers based on buying frequency (New, Returning, Loyal), and analyzed the impact of discounts on overall revenue. Designed an interactive Power BI dashboard to visualize key metrics such as revenue by category, sales by age group, and customer subscription trends, making complex data accessible to stakeholders. Formulated actionable recommendations, identifying opportunities to boost subscription rates by 27% and enhance customer retention through targeted loyalty programs.
Swiggy Sales Data Analysis
June 1, 2026 – Present
Calculated essential business metrics including Total Revenue, Average Order Value (AOV), Total Orders, and Average Ratings to measure overall performance. Dynamically categorized dishes into 'Veg' and 'Non-Veg' by extracting and matching keywords from dish names using Pandas string operations. Designed interactive charts using Plotly and Seaborn to visualize daily/monthly revenue trends, top-performing states, and revenue contribution by food category. Identified peak order days, highest revenue-generating states, and the top 5 most reviewed restaurants to support data-driven decision-making.
Business Performance Analysis Dashboard
June 1, 2026 – Present
Designed and developed an interactive Power BI dashboard to monitor e-commerce sales performance, profitability, and customer purchasing behavior. Integrated and transformed multiple datasets (Orders and Order Details) to establish a robust data model with 1-to-many relationships, enabling accurate multi-dimensional analysis. Analyzed key business metrics, including total revenue, profit margins, and order quantities across major product categories like Electronics, Clothing, and Furniture. Evaluated regional sales data and customer payment preferences (UPI, COD, Credit Card, EMI) to identify top-performing states and generate data-driven insights for business strategy.
Full Stack Data Science & AI ML
Naresh IT, Hyderabad
June 1, 2026 – Present
Data Analytics Virtual Internship
Deloitte
June 1, 2026 – Present
Data Visualisation Virtual Experience
TCS Forage
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's projects are all academic but demonstrate a consistent focus on data analysis, visualization, and deriving business insights, which aligns well with a Data Analyst role. The diversity of project domains (customer behavior, e-commerce, food delivery) shows adaptability. However, the lack of professional experience means cultural fit in a corporate environment is yet to be proven.
Soft Skills & Operational Fit
The candidate's resume mentions 'Communication, Planning, Teamwork, Time Management' as soft skills. The project descriptions indicate an ability to work on end-to-end data analysis tasks, from data extraction to visualization and recommendation, which suggests good operational fit for a Data Analyst role. However, without specific behavioral assessment data, the depth of these soft skills cannot be fully validated.