Samiya Pathan - Data Analyst | ContraWork by Samiya Pathan
Samiya Pathan

Samiya Pathan

Web Developer & Data Analyst | React, Java, SQL & Power BI

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Pune, India

WorkPostsAbout

Pune, India

Cover image for Video Game Market Intelligence &
Video Game Market Intelligence & Engagement Analytics This project analyzes video game sales data to uncover market trends, understand player preferences, and compare the performance of games across platforms, genres, publishers, and regions. Key features: SQL-based data querying and analysis. Analysis of global sales and regional market performance. Comparison of game genres, platforms, and publishers. Identification of top-performing games and market trends. Interactive Power BI dashboards to communicate findings through visualizations and KPIs. Tech stack: SQL, MySQL, Power BI. The project demonstrates how structured data analysis and interactive reporting can transform raw sales data into meaningful business insights.
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Internship-Job-Portal — Job & Internship Search Platform The Internship-Job-Portal is a full-stack web application designed to help users discover internships and job opportunities through a searchable and filterable interface. Key features: • Browse and search job and internship listings. • Filter opportunities by relevant criteria and domain. • Pagination for browsing listings. • View individual opportunity details. • Submit applications and manage application statuses. • REST APIs backed by MongoDB. • Responsive interface with modern styling and theme support. Tech stack: React, Node.js, Express.js, MongoDB, Mongoose, Vite. This project demonstrates full-stack application development, REST API integration, database modeling, and the implementation of practical job-search workflows.
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ShopSphere — Full-Stack E-Commerce Platform ShopSphere is a production-style e-commerce web application built to demonstrate modern frontend development, backend API design, and secure authentication. Key technical features: • React and TypeScript frontend. • Spring Boot backend with a modular architecture. • JWT-based login authentication with refresh-token support. • Role-based authorization for protected endpoints. • PostgreSQL database and Redis integration. • Docker-based development and deployment configuration. Tech stack: Java, Spring Boot, React, TypeScript, PostgreSQL, Redis, Docker. This project demonstrates full-stack engineering practices, API integration, application security, and maintainable software architecture.
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🚀 FORESIGHT — Demand Forecasting & Inventory Intelligence FORESIGHT is a data-driven inventory intelligence solution designed to help businesses forecast product demand, identify potential stockouts, and make smarter inventory decisions. The project combines data cleaning, demand forecasting, inventory risk scoring, and interactive analytics in one workflow. Key features: • Data processing and validation across sales, SKU master, calendar, and inventory datasets. • A 6-week demand forecasting model using the Seasonal Naive approach. • Inventory risk analysis to identify products requiring immediate replenishment. • Stockout risk alerts and prioritization to support inventory planning. • Sales-at-risk estimation to help businesses understand potential losses. • A FastAPI backend and interactive Streamlit dashboard. Tech Stack: Python, Pandas, Forecasting, FastAPI, Streamlit, Data Analytics. Model Performance: Achieved a WAPE of 11.80% on the evaluated dataset. The goal of FORESIGHT is to turn raw business data into actionable insights that support better demand planning, inventory optimization, and data-driven decision-making.
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