About

Jamuna Vignesh is a highly skilled Senior Data Analyst with over 7 years of experience in collecting, analyzing, and interpreting large datasets. She possesses extensive analytical skills, strong attention to detail, and significant ability to work in team environments. She is currently working at Caterpillar Inc as a Senior Data Analyst - Engineering Data Systems. Jamuna has expertise in various statistical techniques and real-time projects such as statistical tests, linear regression, logistic regression, clustering/profiling, decision trees, and time series forecasting. She is proficient in data and quantitative analysis, decision analytics, predictive modeling, data-driven personalization, big data queries and interpretation, data mining and visualization tools, machine learning algorithm, research, reports and forecasts, statistical computing methods, data warehousing, and regression analysis. Prior to her current role, Jamuna worked as a Research Associate at IFIM Business School where she consulted as a member of several small data science/data engineering teams in multiple projects. She also worked as a Data Science Consultant at XLTIA where she identified, acquired, synthesized, mined, and analyzed relevant data. She designed and implemented data, information, and knowledge management systems and generated reports and recommendations based on the analysis to provide decision support functionalities. Jamuna holds a Ph.D. in Data Security and Data Privacy from Vishveshwaraiah Technological University, a Master of Technology in Computer Science from Atria Institute of Technology, and a Bachelor of Engineering in Computer Science from New Horizon College. She has a strong tech stack that includes research scientist, test, ML, data scientist, Python, SQL, big data, HDFS, CNN, RNN, data engineering, and Apache Hive. With 4.68 years of relevant experience, Jamuna is a mentor and has excellent understanding of research problems and analytics tools for effective analyses of data and interpretation.