Hi, I'm Jenil Shah

Data Scientist

I am a dedicated, self-assured, and eager learner who is constantly looking for opportunities to acquire new skills. I aim to leverage my knowledge and experience in Java Development, Data Analysis, and the core technologies of the IT field, including Web Development, Database Management, and Software Development. With a strong foundation in programming, problem-solving, and analytical thinking, I strive to contribute effectively to a professional organization with sincere dedication, diligence, and commitment. Additionally, with five years of experience managing a YouTube channel, I have expertise in video editing and content creation.

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About Me

Hi there! Glad to see you here.

Hello! Jenil Shah here, a technology enthusiast! Currently, I am pursuing Computer Programming and Analysis at George Brown College in Toronto, ON.

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My Journey

Education

2022 - 2025

Computer Programming And Analysis
(George Brown College, Toronto, ON)

Refined skills in data analysis, statistical modeling, and Python through sentiment analysis on social media data. Led Java-based inventory management system development, showcasing expertise in Java, MySQL, and OOP. Excelled in advanced coursework, strengthening foundations for a Java Developer role.

2019 - 2020

High School - Baroda High School O.N.G.C

Completed 12th grade in Science (Mathematics) from Gujarat Board in 2020. Gained a strong foundation in problem-solving, analytical thinking, and quantitative skills. Successfully tackled challenging concepts in Physics, Chemistry, and Mathematics.

Experience

Capstone Project - Event Management System

Developed a robust Event Management System using PHP, MySQL, HTML/CSS, JavaScript, and jQuery to streamline event planning and coordination. The system enables event creation, registration, scheduling, and real-time updates with a user-friendly interface. Implemented AJAX for smooth interactivity and used XAMPP/WAMP/MAMP for local development and testing.

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Employee Management System with GraphQL

This project is a Node.js and GraphQL-based Employee Management System that allows users to manage employee records efficiently. It utilizes Apollo Server to handle GraphQL queries and mutations, enabling CRUD operations on employee data.

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Fashion MNIST Classification Using Deep Learning

Developed a deep learning model using TensorFlow and Keras to classify Fashion MNIST images into 10 categories, including shirts, sneakers, and dresses. The model was trained using a neural network with multiple hidden layers and optimized using Adam and RMSprop. Achieved accuracy evaluation, compared results with the classic MNIST dataset, and analyzed overfitting.

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K-Nearest Neighbors (KNN) Algorithm on Iris Dataset

This project involves implementing the K-Nearest Neighbors (KNN) algorithm from scratch using the Iris dataset for classification. The goal was to classify iris flowers into three species based on features like sepal and petal dimensions. It highlights my ability to apply machine learning algorithms and evaluate model with performance effectively.

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My Skills

Coding Skills

HTML 90%

CSS 80%

JavaScript 65%

Python 75%

Professional Skills

Android app Development95%

Web Development 67%

Machine Learning85%

Ethical Hacking60%

Projects & Certificates

Projects

Capstone Project - Event Management System

Designed and developed an Event Management System to automate event planning, attendee registration, and scheduling. Utilized Java for backend development and MySQL for efficient database management. Implemented features such as real-time event tracking, ticket booking, and automated notifications to enhance user experience. Focused on improving event coordination by integrating role-based access, ensuring seamless management for organizers, vendors, and participants.

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Employee Management System with GraphQL

This project is a Node.js and GraphQL-based Employee Management System that allows users to manage employee records efficiently. It utilizes Apollo Server to handle GraphQL queries and mutations, enabling CRUD operations on employee data.

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Fashion MNIST Classification Using Deep Learning

Developed a deep learning model using TensorFlow and Keras to classify Fashion MNIST images into 10 categories, including shirts, sneakers, and dresses. The model was trained using a neural network with multiple hidden layers and optimized using Adam and RMSprop. Achieved accuracy evaluation, compared results with the classic MNIST dataset, and analyzed overfitting.

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K-Nearest Neighbors (KNN) Algorithm on Iris Dataset

This project involves implementing the K-Nearest Neighbors (KNN) algorithm from scratch using the Iris dataset for classification. The goal was to classify iris flowers into three species based on features like sepal and petal dimensions. It highlights my ability to apply machine learning algorithms and evaluate model with performance effectively.

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Certificates

Date of Certification: 21st June 2021

Android App Development Course from Internshala

This certification validates the skills in Android app development, covering UI/UX design, Java programming, and Android Studio proficiency.

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Date of Certification: 10th July 2024

Ethical Hacking Course from Internshala (N.S.D.C)

This certification demonstrates proficiency in ethical hacking practices including penetration testing, vulnerability assessment, and network security.

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Date of Certification: 11th July 2024

Ethical Hacking Course from Internshala

This course covered advanced cybersecurity techniques, ethical hacking methodologies, malware analysis, and system security protocols.

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