About

Aman Garg is an experienced Data Scientist with over 8 years of relevant experience in Finance, Logistics, and Mining. He is currently working as a Senior Machine Learning Engineer at GirnarSoft, where he leverages his expertise in Machine Learning, Data Science, Artificial Intelligence, Python, and R to develop innovative solutions for the company. Aman is a strong engineering professional with a Bachelor’s Degree in Mining and Mineral Engineering from the Indian Institute of Technology, Kharagpur. He is currently pursuing a Master's degree in Data Science from the University of British Columbia. Aman has worked on various projects and has gained expertise in different areas of Data Science. He has worked as a Data Scientist (Capstone) at Goldspot Discoveries Corp. where he developed an image classification model using deep learning techniques to classify core samples into 23 different classes. He has also worked as a Senior Data Scientist at Mobikwik, where he developed credit scoring models for small ticket size loan distribution using Machine Learning Algorithms, Xgboost. He has also created a classification model to classify SMS into alert, transactional, and promotional SMS. Aman has worked on big data technologies such as Hadoop, Hive, and Spark to dive deep into terabytes of data. Aman has a strong tech stack that includes ML, AWS, Python, NLP, Computer Vision, MySQL, CNN, SQL, Flask, Spark, Big Data, Hadoop, XGBoost, Keras, Apache Hive, AI, Scikit, MapReduce, Tensorflow, Pandas, Neural Networks, MongoDB, and Kafka. He is a skilled researcher and has demonstrated his proficiency in developing and deploying models on various platforms. Aman's professional experience and educational background make him a valuable asset to any organization looking for a Data Scientist or Machine Learning Engineer. He is a team player and has excellent communication skills, which make him an effective collaborator. Aman is a proactive learner and keeps himself updated with the latest trends and technologies in the field of Data Science.