About

Chithra Nair is an analytics professional with a passion for data solving. With a post-graduate degree in Data Science and Analytics, Chithra has 3 years of experience in predictive analytics, statistical modeling, and data visualization. She has worked across different industries like HR, finance, and retail and is interested in exploring other domains like e-commerce and healthcare. Chithra's expertise lies in machine learning, data analysis, and data visualization tools like Tableau, Power BI, and Natural Language Processing (NLP). She has strong experience in supervised learning techniques like classification, regression, decision trees, random forest, and SVM, and unsupervised learning like clustering-k-means, PCA, and forecasting. She has also worked on sentiment analysis using text mining (NLP) and topic modeling using free text for topic categorization (using NMF topic modeling and business use cases). Currently working as an Associate Consultant at EY, Chithra has developed a strong understanding of cross-validated ensemble model techniques like bagging and boosting models. She has built best-fit models based on data and provided appropriate insights to business problems. Prior to EY, Chithra worked as a Software Developer at UST-Global, where she gained experience in data warehouse development, ETL, and data mapping. She has strong experience in SQL, Cobol, SAS, JCL, IBM Utilities, IBM DB2, SSIS, SSRS, T-SQL, and Excel. Chithra is a graduate of Sree Chitra Thirunal College of Engineering, Pappanamcode, Thiruvananthapuram, where she earned a Bachelor of Technology degree in Electrical, Electronics, and Communications Engineering. She also holds a Post Graduate Diploma in Data Science from Praxis Business School. With a relevant experience of 3.86 years, Chithra is immediately available to join and is a valuable addition to any team looking for a skilled data analyst.