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Results-driven Data Analyst with strong data analysis, visualization, and database management skills
Results-driven and detail-oriented aspiring Data Analyst with strong knowledge of data analysis, data visualization, and database management. Proficient in Python, SQL, Excel, and Power BI/Tableau for data cleaning, analysis, and reporting. Skilled in identifying trends, generating insights, and creating dashboards to support business decision-making. Completed projects in sales analysis and machine learning with hands-on experience in handling real-world datasets. Quick learner with strong analytical, problem-solving, and communication skills, seeking an opportunity to contribute to organizational growth as a Data Analyst.
Maulana Abul Kalam Azad University of Technology (MAKAUT)
B.Tech · Computer Science & Engineering
August 1, 2023 – June 30, 2026
West Bengal Board of Secondary Education
Secondary
N/A – May 31, 2017
West Bengal Council of Higher Secondary Education
Higher Secondary
N/A – May 31, 2019
WBSCTE
Diploma · Computer Science & Engineering
N/A – June 30, 2022
Cognorise Infotech
Data Analyst Intern
June 1, 2026 – Present
India
Cognifyz Technologies
Data Analyst Intern
June 1, 2026 – Present
India
Sales Dashboard Using Power BI
June 1, 2026 – Present
Built an interactive Sales Dashboard using Power BI for business performance analysis. Connected and transformed datasets using Power Query and data modeling techniques. Created visual reports with charts, KPIs, filters, and slicers for sales insights. Analyzed revenue, profit, customer behavior, and regional sales performance.
HMMBRO Perfume Database Management System
June 1, 2026 – Present
Designed and developed a perfume inventory and sales database using PostgreSQL. Created relational tables for products, customers, orders, payments, and stock management. Wrote SQL queries for data insertion, updating, filtering, and sales reporting. Implemented primary keys, foreign keys, joins, and normalization techniques for efficient database management. Generated sales and inventory insights to improve product tracking and business operations.
Student Data Analyst Using SQL
June 1, 2026 – Present
Developed a student data analysis project using SQL for managing and analyzing student records. Wrote SQL queries for data extraction, filtering, joins, aggregation, and reporting. Analyzed student performance, attendance, and academic trends using relational databases. Improved database efficiency using normalization and proper table relationships. Generated insights and reports to support data-driven decision-making.
View ProjectEcommerce Sales Dashboard Using Excel
June 1, 2026 – Present
Created an interactive Ecommerce Sales Dashboard in Microsoft Excel to analyze sales and profit data. Used Pivot Tables, Charts, Slicers, and Conditional Formatting for dynamic data visualization. Tracked KPIs such as total sales, profit, customer trends, and top-selling products. Improved business reporting by generating automated and easy-to-understand dashboards. Applied Excel formulas and data analysis techniques for better decision-making.
Data Analytics Job Simulation
Deloitte Australia (Forage)
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's project diversity, including database management, sales analysis, and student data analysis, shows a broad interest in data applications. The listed internships, though current and without detailed descriptions, suggest an eagerness to gain practical experience. The target role of Data Analyst aligns well with the candidate's stated skills and project experience. The candidate's self-description as a 'quick learner' and 'seeking an opportunity to contribute to organizational growth' indicates a proactive and growth-oriented mindset, which generally contributes to a positive cultural fit.
Soft Skills & Operational Fit
The candidate's resume highlights strong analytical, problem-solving, and communication skills, which are crucial for a Data Analyst role. The project descriptions indicate a results-driven and detail-oriented approach. The candidate's quick learning ability suggests adaptability, which is beneficial for operational fit in dynamic environments. However, without specific behavioral assessment data, a deeper evaluation of stress handling, teamwork, and work attitude is not possible.