Full-stack developer, data analyst, frontend developer, software devel

Zaara Ansari

Mumbai ***********@*****.*** +91-927******* linkedin.com/in/zaara-ansari github.com/ZShjl7 Projects

Satellite Data Visualization for Agriculture Monitoring - ReactJS, Python Flask Aug 2023 – Apr 2024

• Developed an AI-based system to analyze TIFF satellite images, generating indices like NDVI, SAVI, and NDMI with actionable insights.

• Trained a CNN model on 7,000 processed images using TensorFlow and Keras, achieving 95% accuracy.

• Built an interactive frontend with React.js for real-time visualization, enabling data-driven agricultural decisions. Library Management - ReactJS, CSS, Node.js, Express.js, MySQL Jun 2024 – Jul 2024

• Developed a modern Library Management System using React, Express.js, and MySQL to streamline book operations.

• Designed an interactive UI for managing book tasks and secure authentication for user access.

• Built a robust API and implemented data validation to prevent duplicates and ensure accuracy.

• Enhanced efficiency by reducing errors by 85% and improving processing speed by 40%. Land Price Prediction - DecisionTreeRegressor, SkLearn Jan 2023 - Apr 2023

• Developed a predictive model using DecisionTreeRegressor to forecast land price trends.

• Applied historical data and spatial analysis techniques to improve prediction accuracy.

• Achieved an R-squared score of 0.98, aiding real estate investment and planning. Handwritten Digit Classification - CNN, Matplotlib Oct 2022 - Nov 2022

• Developed a CNN-based model for classifying handwritten digits using a dataset of 1 crore (10 million) images.

• Iteratively trained and fine-tuned the model to optimize performance.

• Achieved 97% accuracy, significantly improving digit classification reliability. IoT-Based Fall Detection System for Elderly People - Arduino, MPU6050, Blynk Aug 2023 - Nov 2023

• Developed a low-cost fall detection system using NodeMCU (ESP8266) and MPU6050 with 90% accuracy.

• Utilized Blynk IoT platform for real-time alerts to caregivers via Wi-Fi.

• Developed using Arduino IDE and achieved seamless integration of hardware and software. Skills

Languages: Python, SQL, JavaScript, Html, CSS

Libraries: ReactJS, Numpy, Pandas, Matplotlib, TensorFlow, Keras, SKlearn, ExpressJS, NodeJS Tools: Jupyter Notebook, Git, Github, MySQL, PowerBI, Figma, Chrome DevTools, Canva Platforms: AWS, Azure

Soft Skills: Communication, Teamwork, Problem-solving, Adaptability Education

• University of Mumbai, Bachelor of Engineering in Information Technology - CGPA: 8.53

Jul 2020 – Jun 2024

Coursework: Operating Systems, Artificial Intelligence, Machine Learning, Networking, Databases

• HSC from The Malegaon High School & Junior College - 66.77% Feb 2020

• SSC from The Malegaon Girls High School - 78% March 2018 Certifications

• AWS Intro to Cloud Sem - 1

• AWS Cloud Foundation

• SIH Participation

• Cloud Computing by Acmegrade

• Artificial Intelligence by 1Stop

• Bootcamp on Styled Components With React

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