About

Pooja Satish is a highly skilled data professional with over 5 years of experience in the field of Analytics and Data Management. She has a strong background in dealing with humongous datasets and is well-versed in Machine Learning and Statistical concepts such as Regression, Classification, and Probability. Pooja has a deep understanding of Statistical Concepts and is proficient in using Python and advanced packages like Numpy, Pandas, Matplotlib, Seaborn, and sklearn. She is also well-versed in Deep Learning Neural Networks such as CNN and RNN. Currently, Pooja is working as a Member of Technical Staff-3 at VMware, where she is responsible for developing and implementing Machine Learning Models such as Regression Models, Clustering, Decision Trees, and SVM. Prior to this, she worked as a Machine Learning Data Engineer at Atkins and a Software Engineer at DXC Technology. Pooja holds a Master of Technology degree in Machine Learning Data Science from PES University, where she gained hands-on experience in data manipulation and visualization using Tableau. She is also proficient in using MySQL, Hadoop, AWS, Kafka, Databricks, Spark, and Azure. Pooja's technical expertise extends beyond her professional experience and she is well-versed in a wide range of technologies including Flask, Sentiment Analysis, Supervised Learning, Random Forest, Object detection, Computer Vision, Stop Words, OpenCV, Object Detection, NLP, Django, ETL, and Mobile and Web development. Her ability to work with such a diverse range of technologies makes her a valuable addition to any data-driven organization. Overall, Pooja has a wealth of experience and expertise in the field of data science and is a highly skilled and motivated individual. She is passionate about using data to drive insights and is always looking for new and innovative ways to solve complex problems.