Mehveen Fasih

MEHVEEN FASIH-|-| Muslim Town North (Karachi, Sindh,71500) https://www.linkedin.com/in/mehveen-fasih-94735b255/ PROFESSIONAL SUMMARY_________________________________________________________________________ A Software Engineering student with a passion for AI, mobile, and web development. Skilled in React, Flutter, Python, and machine learning, I create user-friendly solutions, from e-commerce platforms to AI-driven systems. Seeking opportunities to contribute to impactful, cutting-edge projects. EXPERIENCE_______________________________________________________________________________________ Smart City Lab, NEDUET – Mobile Developer Intern December 2023 - Ongoing ● Developed a sensor-integrated mobile app for farmers using Flutter for the frontend and Firebase for the database. ● Ensured device compatibility, incorporated stakeholder-driven updates, and deployed the app for farmers, leading to an 80% increase in user satisfaction, with ongoing feedback collection and corrective maintenance. NED Scholars, Karachi, Pakistan – Web Application Developer October 2024 - Ongoing ● Designed a PHP-based conflict management system with SQL for user activity tracking. NED Scholars, Karachi, Pakistan – Full Stack Developer September 2024 - November 2024 ● Developed a web-based project management system using PHP, SQL, HTML, and CSS for seamless data management and improved usability, helping manage scholarship and status information for NED students. PROJECTS_________________________________________________________________________________________ Spam Detection System September 2024 - October 2024 ● Developed a machine learning-based spam detection system to identify fake and real messages. ● Cleaned the data to remove unnecessary elements while avoiding stemming and unimportant words. Utilized scikitlearn libraries to train the model and implemented a vectorizer for feature extraction. Traffic Prediction System September 2024 - December 2024 ● Built a traffic prediction system using ML, LightGBM, and EDA to analyze Chicago traffic data, predict bus counts, and manage traffic signals at junctions. ● Developed an interactive frontend with Streamlit, HTML, and CSS to visualize congestion trends. Health Condition Detection System December 2022 - Jan 2023 ● Developed a machine learning system in Python to detect COVID-19 (positive/negative), stress levels, and diabetes based on health conditions using Kaggle data, MS Access, and Excel. Achieved over 80% accuracy in predictions. Pawfect (Online Pet Store) September 2024 - November 2024 ● Built an e-commerce app with React, Node.js, and Figma designs, integrating an AI chatbot for pet care recommendations. Integrated pet locator maps, multiple checkout/payment forms, and customizable themes. Online Web Portal April 2024 - September 2024 ● Built an online web portal using JS, SQL, Figma, HTML, and CSS with job search, portfolio creation, and timed online testing features. TECHNICAL SKILLS________________________________________________________________________________ • Languages: Python, R, HTML, CSS, JavaScript, PHP, Dart. • Frameworks/Tools: React, Node.js, Flutter, Figma, Power BI, Streamlit,Trello. • Libraries: Pandas, NumPy, Matplotlib, Sklearn, TensorFlow, OpenCV. EDUCATION________________________________________________________________________________________ Bachelors in Software Engineering September 2022 - September 2026 NED UNIVERSITY OF ENGINEERING & TECHNOLOGY KARACHI, Pakistan || CGPA: 3.7 || SEMESTER: 6TH Pre-Engineering April 2020 - April 2022 BAMM PECHS GOVT COLLEGE FOR WOMEN, KARACHI || POSITION:13TH (93.5%) CERTIFICATIONS___________________________________________________________________________ ● ● ● ● ● ● Applied Machine Learning-1 month Course: Neurocomputational Lab, NEDUET Data Analysis || power BI || R language: Great Learning Academy Mobile Application Intern-1+year experience: Smart city lab, RCAI, NEDUET Android Developer-1 month internship: Codsoft Business writing: Coursera Effective Leadership || Customer Experience for Business Success: HP LIFE October 2024 August 2023-August 2024 October 2024 September 2023 August 2023 December 2024 AWARDS AND VOLUNTEER WORK__________________________________________________________________ ● ● ● Managed and guided visiting staff during the IEEE Envision event. Led a team of 20 to organize activities for individuals with disabilities at Dar-ul-Sukoon. Coordinated visitors to ensure the execution of the Cyber Security Awareness Session. November 2022 Feburary 2023 March 2024