About

Sharmili Srinivasan is a highly skilled and experienced Machine Learning Engineer at PayPal with over 8 years of experience in building end-to-end ML systems. She is a passionate coder and a code-minimalism practitioner who has worked on various ML projects throughout her career. Prior to joining PayPal, Sharmili worked as a Data Engineer II at Ericsson India, where she was responsible for developing ML frameworks and optimizing Pandas UDFs in Spark code. She also worked on projects related to anomaly detection for telecom charging systems, autonomous fault and performance anomaly detection for OpenStack Cloud, and AI/ML-based capabilities for traffic classification to improve the SLA of Packet Core. At Freshworks, Sharmili worked as a Machine Learning Engineer and was responsible for developing ML models to predict ticket fields, determine customer emotions, suggest suitable trackers, and predict ticket volumes using Facebook Prophet. She has extensive experience working with ML concepts such as Hashing Vectoriser, TF-IDF Vectoriser, LSA, Truncated-SVD, and PA classifier, as well as with languages like Python 2.7, Java 1.7, and Shell scripts. Sharmili has a Bachelor's degree in Information and Communication Technology from Shanmugha Arts, Science, Technology and Research Academy. She also holds a Higher Secondary degree in Computer Science Major from Maharishi Vidya Mandir, Chennai, and a Senior Secondary degree from Maharishi Vidya Mandir, Hosur. With a strong Tech Stack that includes ML, AWS, Spark, AI, Python, Redis, NLP, Elastic Search, Data Engineering, Pandas, Apache Hive, infra, Naive Bayes, MySQL, Search, Web, and Django, Sharmili has relevant experience of 10.45 years. She is a highly motivated individual who is always eager to learn and grow in her field.