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Data Analyst with less than a year in Data Visualization & Dashboard Development
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Detail-oriented Data Analyst with hands-on experience in data cleaning, data visualization, and dashboard development. Skilled in SQL, Excel, and Power BI for transforming raw data into actionable business insights. Experienced in building interactive dashboards, performing exploratory data analysis, and supporting data-driven decision-making. Strong understanding of business metrics, reporting automation, and analytics best practices.
PARUL UNIVERSITY
Master of Computer Applications · Computer Applications
August 1, 2024 – June 30, 2026
NAVRACHANA UNIVERSITY
Bachelor of Computer Applications · Computer Applications
August 1, 2021 – June 30, 2024
MAHANT RAMRUP GOSWAMI COLLEGE
12th Intermediate
June 1, 2021 – May 31, 2021
LEVANA PUBLIC SCHOOL
10th Matriculation
June 1, 2019 – May 31, 2019
Webmyne Systems pvt. ltd.
DATA ANALYST
January 1, 2026 – May 1, 2026
India
RETAIL SALES & PROFITABILITY ANALYSIS DASHBOARD
June 1, 2026 – June 1, 2026
Built Power BI dashboards to analyze sales, profit, and category performance. Identified high-margin products and underperforming segments using KPI analysis.
MOBILE SALES DASHBOARD
June 1, 2026 – June 1, 2026
Analyzed mobile phone sales data to track overall sales performance, revenue, and profit trends. Developed interactive Power BI dashboards to monitor brand-wise, model-wise, and region-wise sales performance. Created KPIs such as total sales, total revenue, average selling price, and monthly growth. Performed data cleaning and transformation using Excel and SQL for accurate analysis. Identified top-selling mobile brands, high-revenue models, and underperforming regions to support business decisions.
SALES PERFORMANCE & DELIVERY EFFICIENCY DASHBOARD
June 1, 2026 – June 1, 2026
Analyzed sales and order delivery data to evaluate overall sales performance and operational efficiency. Developed interactive Power BI dashboards to track KPIs such as total sales, order volume, on-time delivery rate, and average delivery time. Performed data cleaning and transformation using Excel and SQL to ensure data accuracy and consistency. Identified delivery delays, region-wise performance gaps, and high-performing sales channels. Provided insights to improve delivery timelines, customer satisfaction, and sales operations.
CUSTOMER EXPERIENCE & SENTIMENT ANALYSIS DASHBOARD
June 1, 2026 – June 1, 2026
Built dashboards to analyze customer feedback and sentiment trends. Used Python-based sentiment analysis to identify key customer pain points.
HOTEL BOOKING DASHBOARD
June 1, 2026 – June 1, 2026
Built Tableau dashboards to analyze hotel bookings, occupancy, and revenue metrics. Generated insights on cancellations, seasonal demand, and booking channels.
FARMER MARKET DASHBOARD
June 1, 2026 – June 1, 2026
Built dashboards to analyze crop sales, pricing, and seasonal trends. Identified high-demand crops and price variations using KPI analysis.
POWER BI
Simplilearn
June 1, 2026 – Present
EXCEL
Simplilearn
June 1, 2026 – Present
SQL
Simplilearn
June 1, 2026 – Present
JAVA PROGRAMMING
Udemy
June 1, 2026 – Present
PYTHON
Udemy
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's project diversity, covering retail sales, mobile sales, hotel bookings, and customer experience, suggests adaptability and a broad interest in applying data analysis across different domains. The self-initiated nature of most projects indicates proactivity and a drive for continuous learning, which aligns well with a growth-oriented culture. The target role of Data Analyst is a strong match for the skills and experience presented.
Soft Skills & Operational Fit
The candidate's resume highlights analytical thinking, problem-solving, teamwork, and time management as soft skills. The project descriptions indicate an ability to collaborate with stakeholders and deliver actionable insights, which are positive indicators for operational fit. However, the limited professional experience (4 months) means these skills are largely self-reported or demonstrated in personal projects, requiring further validation.