About

Pavleen Kaur is a skilled Machine Learning Engineer with a passion for analyzing data for pattern recognition and identification of interesting information. She has gained extensive experience in Data Analysis, Data Visualization, Business Intelligence, Machine Learning, Deep Learning, Data Mining, Database Management, Natural Language Processing, Web Scraping, Sentiment Analysis, Computer Vision, and Software Development. Pavleen is proficient in programming languages such as Python, C, C++, SQL, D3.js, Apache Spark, Scikit-learn, Tensorflow, Keras, PyTorch, NumPy, Pandas, Matplotlib, Plotly, OpenCV, NLTK, HTML, CSS, PHP, JavaScript, JQuery, JSON, Lua, Firebase, MongoDB, and DynamoDB. Currently working as a Machine Learning Engineer at ServiceNow, Pavleen's past experience includes working as a Data Analyst at Genentech, where she introduced efficiencies and cost reductions in the employee transportation program in response to COVID-19 and optimized workspace planning to drive up energy efficiencies and bring down operational costs. She also worked as a Machine Learning Intern at NEC Laboratories America, Inc., where she led the management and development of NEC's Anomaly Detection and Classification System (SDS) and introduced real-time detection and classification in the system with an output latency of 0.5 seconds and a true positive rate of 0.98. Pavleen holds a Master's degree in Data Informatics from the University of Southern California and a Bachelor's degree in Information Technology from Indira Gandhi Delhi Technical University for Women. She completed her High School education from Amity University with a remarkable score of 94%. With a relevant experience of 2.78 years, Pavleen wishes to utilize her skills and experience to help organizations develop and become more profitable by introducing data innovation and optimization. She aims to excel in various aspects of Data Science and Development and acquire a deeper understanding and expertise in the field. Pavleen's tech stack includes ML, Deep Learning, Javascript, SQL, Sentiment Analysis, Jupyter, Keras, Computer Vision, OpenCV, NLP, Spark, Scikit, Pytorch, Python, Data Scientist, Tensorflow, Pandas, PHP, MongoDB, Web, and Software Engineer.