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Software Development Engineer with less than a year in Power BI, Python, and MERN Stack.
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Highly motivated Computer Science Engineering student with a strong foundation in Data Analytics and Full-stack Development. Proficient in tools like Power BI, Python, and the MERN stack (MongoDB, Express.js, React.js, Node.js). Experienced in building interactive dashboards, performing data cleaning and transformation, and designing RESTful APIs for real-time applications. Committed to leveraging data-driven insights and robust software solutions to enhance decision-making and user experience.
Techno International Newtown, Kolkata
B.Tech · Computer Science Engineering (CSE-IoT)
August 1, 2022 – June 30, 2026
DAV Model School, Durgapur
AISSCE · CBSE
N/A – May 31, 2022
DAV Model School, Durgapur
AISSE · CBSE
N/A – May 31, 2020
Customer Sales & Shopping Trends Analysis
February 1, 2026 – March 31, 2026
Built an interactive customer behavior dashboard using Microsoft Power BI, analyzing KPIs such as customer count, average purchase value, and review ratings to uncover purchasing trends and customer insights. Imported and managed data using PostgreSQL, ensuring efficient data storage, querying, and integration with the reporting layer. Performed data cleaning, preprocessing, and transformation using Pandas and NumPy, handling missing values, formatting inconsistencies, and feature structuring for analysis. Designed and implemented DAX measures and calculated columns to derive insights such as category-wise revenue, subscription impact, and sales distribution across product segments. Developed interactive visualizations and slicers (e.g., gender, subscription status, shipping type) enabling dynamic filtering, drill-down analysis, and improved decision-making.
Blinkit(e-Commerce) Sales Analysis
January 1, 2026 – June 30, 2026
Developed an interactive sales analytics dashboard using Microsoft Power BI, visualizing KPIs such as Total Sales, Average Sales, Item Count, and Customer Ratings to enable data-driven decision making. Performed data cleaning and transformation using Power Query, and created calculated measures using DAX (Data Analysis Expressions) for metrics like Avg Rating, Sales Distribution, and Item Visibility. Designed multiple visualizations including donut charts, bar charts, line graphs, and KPI cards to analyze outlet performance, item types, and fat content trends across different store tiers and locations. Implemented dynamic filtering and slicers (e.g., outlet location, outlet size) to enhance user interactivity and drill-down analysis, improving business insights and reporting efficiency.
Online Judge & Code Compilation Platform
September 1, 2025 – June 30, 2026
Developed a full-stack Online Judge & Code Compilation Platform using React.js for the user interface and Node.js + Express.js for backend services, enabling users to write, compile, and execute code in real time. Implemented a secure code execution engine supporting multiple programming languages (e.g., C/C++, Python, Java), handling compilation, runtime execution, and output generation in an isolated environment similar to industry online judges. Designed and integrated RESTful APIs for seamless communication between frontend and backend, and managed user submissions, results, and problem data using MongoDB, ensuring efficient data storage and retrieval. Built core features including problem management, test case validation, and automated evaluation system, enabling accurate result checking based on predefined inputs/outputs and improving system reliability. Enhanced user experience by implementing interactive UI components, real-time feedback, and error handling, ensuring smooth code submission workflows and improved usability for developers.
AI-based Traffic Management System
July 1, 2025 – August 31, 2025
Developed a full-stack Traffic Management System using Python, OpenCV, NumPy (Computer Vision) integrated with a React.js frontend and Node.js + Express.js backend, enabling real-time traffic monitoring and visualization. Implemented vehicle detection and traffic density analysis using image processing and machine learning techniques, processing live/static video feeds to extract actionable insights for congestion control. Designed and integrated RESTful APIs for seamless communication between frontend and backend, and managed structured data using MongoDB, ensuring efficient storage and retrieval of traffic data. Built a dynamic traffic signal optimization system that adjusts signal timings based on real-time vehicle count, improving traffic flow efficiency and reducing congestion using data-driven logic. Developed an interactive dashboard interface with data visualization components to display traffic metrics, system status, and analytics, enhancing usability and decision-making capabilities.
Power BI A-Z: Hands-On Power BI Training for Data Science
Udemy
January 1, 2026 – Present
React, NodeJS, Express & MongoDB - The MERN Fullstack Guide
Udemy
July 1, 2025 – Present
Cultural Fit Analysis
The candidate's academic projects show a diverse interest in both data analytics and full-stack development, including AI/ML applications. This breadth of skills and willingness to explore different domains suggests adaptability. However, all projects are academic, so real-world collaboration and cultural alignment with a professional team are yet to be proven.
Soft Skills & Operational Fit
The candidate's project descriptions indicate an ability to work on complex, multi-faceted problems, suggesting good problem-solving skills. The academic nature of projects and lack of professional experience mean operational fit in a corporate environment is yet to be fully demonstrated. Participation in sports suggests teamwork and competitive spirit.