About

Priya Ghetia is an experienced Data Scientist with demonstrated expertise in big data technologies. As an Advanced Data Scientist at Honeywell, she has developed end-to-end data science solutions using various Machine Learning Algorithms such as Classification, Regression, Clustering, Bayesian Learning, Probabilistic Graphical Models, Pattern Mining, NLP, Statistics, BLOB parsing, Anomaly Detection, Python, Spark, Hive, Hadoop, and Gurobi Optimizer. Priya is well-versed with agile processes and uses Github, Jenkins, and Jira to align with them. Her interest areas include Knowledge Discovery, ML algorithms, and AI. With over 6.45 years of relevant experience, she has worked with Honeywell as a Data Scientist II and with Ericsson as a Data Scientist in the past. Priya holds a Bachelor’s Degree in Computer Engineering from Dharmsinh Desai University, where she specialized in various technologies such as Data Science, Research Science, ML, NLP, Python, SQL, Spark, AI, Big Data, Deep Learning, Jenkins, Hadoop, Apache Hive, Pandas, Pytorch, Scikit, test, Tensorflow, MySQL, Azure, Text Classification, Jupyter, XGBoost, Random Forest, Databricks, Bamboo, RNN, Parts-of-speech, Apache Airflow, DevOps, and Integration. Priya is a highly skilled Data Scientist who is passionate about solving complex problems using data-driven techniques. With her expertise in various technologies and her ability to develop end-to-end data science solutions, she is a valuable asset to any organization.