p196_EZYinvestementcom.pdf

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filename: p196_EZYinvestementcom.pdf, phone: 03329805387, email: umerimran249@gmail.com, skills_technical: Python | MERN | Javascript | Profile | Dynamic and results-driven MERN Stack Developer and Data Scientist with hands-on | experience in building scalable web applications and implementing | AI-driven solutions. Skilled in MongoDB, Express.js, React.js, Node.js, and GIS-based data | analytics for real-world projects. Proficient in REST API development, | state management (Redux), and cloud deployment (AWS, Vercel). Experienced in geospatial | analysis, predictive modeling, and creating interactive dashboards for decision-making. Strong | background in data processing, visualization, and optimizing system performance. Adept at | working in Agile environments, ensuring timely and efficient project delivery. Passionate | about leveraging technology and AI to solve real-world problems and deliver impactful | solutions. Always eager to learn, adapt, and innovate in fast-paced environments., education: BS Data Science, Comsats University Islamabad, Islamabad | F E B R U A R Y 2 0 2 2 — J A N U A R Y 2 0 2 6 | Employment History | Mern Stack Developer, DevHawks, Islamabad | J U N E 2 0 2 4 — S E P T E M B E R 2 0 2 4 | Worked as a MERN Stack Developer at DevHawks, developing and deploying | full-stack web applications using MongoDB, Express.js, React.js, and Node.js. Built responsive | UIs with React, improving load times by 30% and ensuring cross-browser compatibility. | Implemented RESTful APIs handling 10,000+ daily requests and managed state with Redux | for seamless data flow. Integrated secure authentication using JWT and OAuth, reducing | unauthorized access attempts by 95%. Optimized MongoDB queries to improve database | performance by 40%, enabling scalability for 5,000+ active users. Deployed applications | on cloud platforms like AWS and Vercel, achieving 99.9% uptime. Collaborated in an Agile | environment, reducing sprint delivery time by 20% using Git and GitHub for version control. | Data Scientist, Rapid AI, Islamabad | J U N E 2 0 2 5 — AU G U S T 2 0 2 5 | Worked as a Data Scientist at Rapid AI on a real-world GIS-based agriculture project, analyzing | over 100 hectares of farming land using geospatial technologies. Leveraged satellite imagery | and spatial data to optimize land utilization, increasing crop yield by 15%. Built predictive | models for crop suitability, soil health, and irrigation needs, improving resource allocation | efficiency by 20%. Utilized Python, GeoPandas, and QGIS for data processing, visualization, | and advanced spatial analysis. Developed interactive dashboards that reduced decision- | making time by 30% for farmers and stakeholders, enabling data-driven farming practices | and sustainable agriculture., projects: Vervana | A full-featured salon management solution designed for efficient appointment booking and | staff scheduling, handling up to 100+ concurrent bookings daily- | . Integrated POS system processes thousands of transactions monthly, reducing billing errors by | 95%. Provides real-time inventory management and automated financial reporting, cutting | manual work by 40%. Delivers actionable insights through data analytics dashboards, helping | salons increase customer retention by 20%. Built with a user-friendly interface, ensuring quick | adoption and seamless workflow for businesses of all sizes. | EZYinvestement.com | Developed a full-featured real estate web application enabling users to create property | listings, showcase images, and receive quotes and inquiries from potential buyers. | Implemented user authentication and role-based access control for agents, sellers, and | buyers. Integrated advanced search and filtering options for properties based on location, | price, and amenities. Built real-time messaging system for communication between buyers | and sellers, and a quote request feature for pricing transparency. Optimized for responsive | design and high performance across devi

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