Yash Dubey Email & Phone Number

A recent graduate with a Master's Degree in Computer Science from the University of Texas at Arlington specializing in Artificial Intelligence and Databases. I have 1.5+ years of experience as a Full-Stack Software Developer building applications with Python, ReactJS, Java, NodeJS, Spring Boot, Django and Flask and as a Machine Learning enthusiast leveraging innovation in the fields of Artificial Intelligence, Deep Learning and Computer Vision and industry-leading tools like TensorFlow, PyTorch, Apache Hadoop, Apache Spark, Apache Kafka, Kubernetes, Docker and Amazon Web Services (AWS) EC2, S3 & SageMaker to solve critical problems and deliver scalable, secure, and quality solutions. Getting insights and learning about new things is something that I like, and I am a big advocate for learning by building projects, thus I have learned how to adapt to different technologies and programming languages, and have gained significant experience and the technical know-how that gives me the edge to achieve my goal of becoming a software engineer that can deploy a machine learning model to production.I am currently looking for Full-time opportunities in Software Development, Machine Learning and Data Science, and I'm ready to join immediately. I invite you to review the Featured Section or visit my portfolio at http://yashdubey.dev/ to get a better insight into my skills, experience and accomplishments. You can reach out to me via email on yashdubey95@outlook.com or call me at +1 (682) 407-6794.Technical proficiencies:Programming Languages: Python, Java, JavaScript, SQL (MySQL, PostgreSQL), NoSQL (MongoDB), R, C/C++, HTML/CSS.Libraries & Frameworks: React.js, Express.js, Node.js, GraphQL, Spring Boot, Django, Flask, Firebase, REST, Spark, Hadoop, Git, TensorFlow, PyTorch, Numpy, Pandas, Scikit-learn, Matplotlib, SciPy, OpenCV, Kafka, NLTK, ggplot2, mlr, dplyr, tidyr.Cloud Platforms: IBM Cloud, Microsoft Azure, Amazon Web Services (AWS) (SageMaker, S3, EC2), Google Cloud Platform (GCP).Machine Learning & Deep Learning Algorithms: Logistic Regression, Linear Regression, Naïve-Bayes, Decision Tree, Random Forest, K-NN, K-Means, SVM, PCA, CNN, RNN.Hard Skills: Data Analysis, Data Visualization, Shell Scripting, Probability & Statistics, Data Structures & Algorithms, Web Development.Soft Skills: Teamwork, Detail Oriented, Adaptability, Analytical Thinking, Communication, Active Learning.

Listed skills include Mysql, Team Building, Neural Networks, Git, and 37 others.