About

Ridhima Garg is a skilled Machine Learning Engineer, Author, and 2x-Kaggle Expert with a passion for learning. With over 3 years of relevant experience, she possesses expertise in data analysis, feature engineering, and building end-to-end machine learning/deep learning pipelines for real-life problems. Ridhima is currently working as a Machine Learning - Working Student at Zeiss Microscopy. Previously, she has worked as a Machine Learning Engineer at Quantiphi and a Data Scientist at Spectral Tech AI. At Spectral Tech AI, she was responsible for implementing end-to-end machine learning-based modules for an insurance product, automated quote generation with virtual assistant build using Dialogflow and Google Cloud for agents over software, and leveraging the BERT model of Question and Answering for an independent product that collects dynamic information based on the context of textual description. Ridhima has a Master of Science degree in Data Science from FAU Erlangen-Nürnberg and a Bachelor of Technology degree in Computer Science from Dr. A.P.J. Abdul Kalam Technical University. She also holds a 12th degree in Maths plus Computer Science and a 10th degree in Maths and Science from Ess Ess Convent School, Agra, and University Model School, respectively. Ridhima is proficient in Python, Machine Learning, Deep Learning, Natural Language Processing, Data Science, and libraries for Machine learning such as Scikitlearn, Numpy, Pandas, Tensorflow, and Keras. She is also skilled in deployment using AWS, GCP, and Flask. In summary, Ridhima is a talented Machine Learning Engineer with a passion for building solutions for real-life problems. Her technical skills and experience make her a valuable asset to any team. She can be contacted via email at garg.ridhima72@gmail.com or through her Github page at https://github.com/ridhimagarg.