DARPAN GORASIYA

A computer engineering undergraduate with a 8.1 CGPA and a strong interest in Artificial Intelligence and Machine Learning. Demonstrating high proficiency in supervised learning, Deep Learning, and a variety of machine learning approaches. Qualified machine learning engineer adept with big data storage, processing and computation. Experienced collaborating with cross-functional teams to deliver cutting-edge solutions. Innovative Machine Learning Engineer recognized for high productivity and efficient task completion. Possess specialized skills in algorithm development, data modeling, and neural networks which enable tackling complex problems with precision. Excel in teamwork, communication, and adaptability, ensuring seamless collaboration and innovative problem-solving in fast-paced environments.

• Machine Learning Specialization, Master Fundamental AI concepts and develop practical machine learning skills in beginner-friendly, 1-course program by Dr. Abhinanda Sarkar and Great Learning.
• Supervised Machine Learning Advanced, Learning Algorithms Unsupervised Learning Data Science Course.
• Data Science Life Cycle, Data Mining and Structuring Machine Learning Projects.
• Crack Hacker Rank Advanced SQL Test, Completed a HackerRank test within 14 minutes and successfully passed the SQL portion.

• FastAPI
• Keras
• XGBoost
• NLTK
• Pandas
• Numpy
• Matplotlib
• Scikit-learn
• Tensorflow
• PyTorch
• Streamlit

Brainy Beam Technologies, 3 Months, 02/01/23, 04/30/23, Gained a fundamental understanding of Flutter Development and android development, with a focus on its core concepts.

Face Recognition System in Python Using FaceNet, The dataset for the project is a video from the famous sitcom show called friends. Haar, cascade is used for face detection and extraction, while Convolution Neural Network is used for Model Training. Implemented a supervised machine learning model using cost function and portrayed using the streamlit library. E-commerce Application, Leveraged the power of Kotlin for Android development, implementing robust features and ensuring a seamless user experience. Utilized Android Studio for app development. Smart Event Management System, The app streamlines the event organization process, providing features for scheduling, attendee management, and seamless communication.

• This project allowed me to leverage the power of Kotlin, a modern and expressive programming language for Android development. With Android Studio as my primary development environme nt, I navigated the intricacies of app development, implementing robust features and ensuring a seamless user experience. Provides a visual design editor for building app interfaces using a drag -and-drop interface.Utilizes the Gradle build system,allowing for flexible and customizable build Includes a fast and feature-rich emulator for testing apps on various Android devices without the need for physical hardware.Built-in support for version control systems like Git, making it easy to manage and track changes in the codebas

• The dataset for the project is a video from the famous sitcom show called friends.Haar,crr Scade is used for face detection and extraction,while Convolution Neural Network is used For Model Training I used a dataset from Kaggle and then implemented a supervised machine learning model using cost function and portrayed using the streamlit library.