About

Sanskriti Agrawal is a skilled Software Engineer with a strong background in Machine Learning. She graduated from Indian Institute of Information Technology, Design and Manufacturing, Jabalpur with a Bachelor of Technology in Computer Science and Engineering. With expertise in Software Development, Data Analytics, and Machine Learning, Sanskriti is proficient in programming languages such as Python, Java, and has a solid understanding of System Design, Oops, Data Structures and Algorithms, Operating Systems, and Database Management Systems. Currently working as a Software Engineer at Myntra, Sanskriti previously worked as a Machine Learning Engineer at Amex, where she implemented a Machine Learning Model that classifies whether the agent is aligned with the company’s policies or not. Her work reduced 60% of manual work, fast performance outcomes, and led to quick business decisions. She also worked as a Data Analytics Intern at Indian Institute of Technology, Bombay, where she built a Data Analytics Pipeline for A-view System, an e-learning platform. She built a machine learning model to segregate operational and non-operational questions from unstructured data extracted from YouTube videos, YouTube links, and chat messages, achieving an accuracy of 86%. Sanskriti is a fast learner with creative problem-solving skills, logical and communication skills. She is an enthusiastic Badminton player and loves to explore new technologies in the field of Software Development, Data Science, and Machine Learning. She is eager to learn more and is driven by the will to create an impact and encourage diversity. Sanskriti’s technical stack includes Software Engineering, Machine Learning, Spring, Python, Java, MongoDB, MySQL, Spring Boot, Data Science, Kafka, Scikit, Redis, SQL, Jupyter, Naive Bayes, Selenium, Pandas, and Web. With 1.78 years of relevant experience, Sanskriti is a skilled professional who is always ready to take on new challenges and learn from them.