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Data Analyst with 1+ years in SQL & 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
Data Analyst with hands-on experience in Python, SQL, Excel, and Power BI. Skilled in data cleaning, exploratory data analysis (EDA), SQL queries, data modeling, and data visualization for business insights. Experienced in KPI reporting and dashboard development. Delivered end-to-end analytics projects on datasets ranging from 5K to 100K+ records, with a focus on customer analytics, sales performance, and retention analysis, demonstrating strong problem-solving and communication skills.
Priyadarshini Bhagwati College of Engineering
Bachelor of Technology · Information Technology
December 1, 2021 – May 1, 2025
Cravita Technologies India Pvt Ltd
Data Analytics Trainee
January 1, 2026 – Present
India
Sayansh IT Solution
Mobile Application Developer Intern
December 1, 2024 – May 1, 2025
India
Customer Intelligence & Retention Analytics
April 1, 2026 – Present
Analyzed 100,000+ customer records using Python and Power BI to identify customer behavior and revenue trends. Developed interactive Power BI dashboard using DAX to track KPIs like Revenue, AOV, Repeat %, and Churn. Implemented recency-based churn logic (>30 days) to detect inactive customers and support retention strategies. Generated insights on customer segmentation and high-value customers to enable data-driven decisions.
View ProjectMobile Sales Data Analysis
March 1, 2026 – Present
Performed ETL processes using Power Query and Excel to clean, transform, and prepare 10,000+ sales records for analysis. Evaluated 10,000+ sales records using Power BI to evaluate overall business performance and detailed sales trends. Designed interactive dashboard using DAX to track key KPIs like Revenue, Transactions, and Average Order Value (AOV). Identified customer purchasing patterns and payment methods to support strategic business decisions and insights.
View ProjectCoffee Shop Sales Analysis
February 1, 2026 – Present
Examined 5,000+ sales transactions using Excel to evaluate overall store performance and monthly sales trends. Built interactive dashboards using Pivot Tables, Charts, and Slicers for detailed business analysis. Tracked key KPIs like Revenue, Footfall, and Average Sales per Customer across different store locations. Identified top-performing products and store locations to generate actionable business insights and recommendations.
View ProjectData Analytics with Python
NPTEL
June 1, 2026 – Present
Social Networks
NPTEL
June 1, 2026 – Present
Android Developer
AICTE
June 1, 2026 – Present
Google Generative AI
AICTE
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's projects show a focus on practical business applications of data analysis, which aligns well with a results-oriented culture. The diversity of projects (customer intelligence, sales analysis, coffee shop sales) indicates adaptability and a broad interest in applying data skills to different domains. The inclusion of a mobile development internship, while not directly related to data analysis, shows a breadth of technical interest and a willingness to learn new technologies. However, the experience level is entry-level, which might require more mentorship in a senior-level team.
Soft Skills & Operational Fit
The candidate's project descriptions indicate an ability to identify business problems and generate actionable insights, suggesting problem-solving and analytical thinking. The collaboration in code reviews during the Mobile Application Developer internship points to teamwork and communication skills. However, without direct assessment data, these are inferred.