About

Komal Wavhal is an experienced Process Project Specialist at JPMorgan Chase & Co. with over 5 years of relevant experience in the field of Data Science and Machine Learning. She is a problem solver by nature and enjoys developing solutions and finding more efficient ways to address real-world problems and programs. Komal has a diverse skill set that includes expertise in Python, Alteryx, R, SQL, VB Script, Ruby, CHEF, Kotlin, Selenium Web driver, UiPath, R Studio, NetBeans, Spider, Jupyter Notebook, and PyCharm. She has a strong background in Machine Learning, Data Science, Big Data, data mining, data visualization, Internet of Things, algorithms for data science, data structures, and database. In addition to her technical skills, Komal has worked on various projects and gained experience in sentiment analysis of Text Classification and data prediction tool development using time series model ARIMA and Python configure in Solution Manager Component of SAP System. Her key interests lie in Data Science and Machine Learning. Komal has worked with top-tier companies like McKesson and Johnson & Johnson through LTI - Larsen & Toubro Infotech Limited. As a Process Project Specialist at JPMorgan Chase & Co., she is responsible for identifying potential opportunities and implementing effective solutions. She collaborates with business and technology teams, Risk & Controls partners, and relevant stakeholders to ensure calibrated delivery. She understands the overall service delivery landscape and plans execution strategy for a smooth touchdown. Komal holds a Bachelor's degree in Information Technology from Savitribai Phule Pune University and completed her H.S.C from Balbhim College, Beed. She is a research scientist with relevant experience of 5.94 years.