About

Chetan Garg is a senior machine learning engineer at ReshaMandi with over 5.5 years of experience in artificial intelligence, machine learning, and deep learning. He is a result-oriented engineer and consultant with a positive attitude and excellent teamwork skills. Chetan has a proven track record of solving real business problems with the help of AI and data. Chetan's technical expertise includes regression, classification, support vector machine, logistic regression, decision trees, random forest, KNN, K means clustering, and Naive Bayes. He is proficient in Python, Jupyter Notebook, Scikit Learn, Matplotlib, Seaborn, Tensor-flow, Keras, Scipy, SQL, Agile, and Scrum. Chetan's skills include artificial intelligence, machine learning, neural network, deep learning, time series, and feature engineering. He has worked with various organizations, including Cognizant and Sopra Steria, where he held senior consultant and senior software engineer roles, respectively. Chetan holds a post-graduate program in artificial intelligence and machine learning from the University of Texas and a bachelor's degree in computer science from the College of Engineering Roorkee. He is proficient in ML, Python, deep learning, AWS, SVM, random forest, SQL, Jupyter, Naive Bayes, Keras, Scikit, Seaborn, AI, Tensorflow, neural networks, text classification, recommendation systems, software engineering, computer vision, Sagemaker, CNN, RNN, OpenCV, Docker, Pandas, Jenkins, and Flask. Chetan has 4.86 years of relevant experience and is passionate about leveraging his skills to develop innovative solutions that solve complex business problems. He is a team player who thrives in a collaborative environment and is committed to delivering high-quality work.