About

Amber Saxena is a highly skilled and motivated Software Development Engineer with over three years of experience in the field. She obtained her Bachelor of Technology degree in Computer Science from Graphic Era Hill University, where she excelled in her studies. Amber has worked as an SDE at Amazon, where she gained valuable experience in the industry. She also completed an SDE internship at Amazon, a data science internship at Analytics Vidhya, a winter internship at Ordnance Clothing Factory, and a summer internship at RWX Technology. Amber has a passion for data science, machine learning, and natural language processing. She has completed several projects in these areas, including a recommendation system, air quality prediction, categorization of documents, and text summarization. Amber is skilled in handling and processing data and applying algorithms to extract knowledge from it. She is also capable of managing and organizing big data using coding. In addition to her technical skills, Amber is an excellent communicator and writer. She has written more than 25 articles on System Programming, C.O, Conic Section, etc. in Python, C, and Java. She is currently an intern at GeeksforGeeks, where she continues to hone her skills. Amber is a highly ambitious, punctual, and hardworking individual. She has a research publication in recommendation systems and is always looking for new challenges to tackle. Her experience includes working on projects such as text summarization, MNIST digit recognition using neural networks in Python with Keras, tweet sentiment analysis, and the implementation of KNN. Amber's education history includes a Bachelor of Technology degree in Computer Science from Graphic Era Hill University. She is skilled in a wide range of technologies, including software engineering, recommendation systems, Javascript, AWS, Python, Java, ML, NLP, big data, sentiment analysis, Keras, parts-of-speech, UI design, and more. Overall, Amber is a highly skilled and motivated software development engineer with a passion for data science and machine learning. She is an excellent communicator, writer, and problem-solver who is always looking for new challenges to tackle.