About

Swati Kohli is a Microsoft Certified Azure Data Scientist Associate with a passion for SQL, Python, and Data Science. With over 8 years of relevant experience, she is currently working as a Data Scientist at acl digital, where she is involved in various projects for PayPal. Her responsibilities include webscraping, textmining, text generation, social media API, content generation, creating annotated data for ML model training, and validating training data for machine learning efforts. She is also experienced in content review or generation, generating content from both internal and external resources, labeling and annotation of data for data modeling, and building supervised and unsupervised Machine Learning experiments using Microsoft Azure utilizing multiple algorithms to perform detailed predictive analytics. Prior to her current role, Swati worked as a Sr. Systems Analyst at randstad and anjaneyap inc., where she played a crucial role in various projects for PennyMac Loan Services. Her responsibilities included preparing and maintaining all project-related status reports, project meetings, coordinating with other departments and groups, as necessary, and managing all issues and risks through to resolution. She also worked closely with her manager to analyze and understand business requirements, gathered user, functional and non-functional requirements, and translated the requirements into user stories for the Scrum process. Swati holds a Master of Science in Information Systems from the University of Texas and a Bachelor of Technology in Electrical, Electronics and Communications Engineering from Gautam Budh Technical University. She also has a Higher Secondary School Certificate and a Secondary School Certificate from St. George's College, Agra. Swati's tech stack includes SQL, Data Scientist, Research Scientist, ML, Python, Azure, DevOps, ETL, NLP, AI, AWS, test, MySQL, Ansible, Stop Words, Docker, and Jenkins. She is an astute learner and wishes to mark a breakthrough in the field of SQL, Python, and Data Science.