I’m a data enthusiast, who loves working with numbers and finding new patterns in data. The trajectory of my career started with my undergrad program. While majoring in Math and Statistics, I acquired understanding of topics like Probability, Statistical Distributions, Regression, Algebra and Calculus. This has helped me in laying down a strong foundation for Data Analytics and Data Science. While interning at MedTourEasy as a Data Analyst, I have completed projects on Predicting Blood Donations and build a model to Process Sign Language. Currently I'm working at Wood Mackenzie as a Data Analyst. My role largely involves working with different teams to understand existing data processes, creating automated workflows using connected datasets and integrated pipelines. Let's connect to talk about everything data! (𝐒𝐤𝐢𝐥𝐥𝐬𝐞𝐭: 𝐃𝐚𝐭𝐚 𝐜𝐥𝐞𝐚𝐧𝐢𝐧𝐠/ 𝐦𝐚𝐧𝐢𝐩𝐮𝐥𝐚𝐭𝐢𝐨𝐧/ 𝐯𝐢𝐬𝐮𝐚𝐥𝐢𝐳𝐚𝐭𝐢𝐨𝐧, 𝐏𝐲𝐭𝐡𝐨𝐧, 𝐒𝐐𝐋, 𝐑, 𝐌𝐒 𝐄𝐱𝐜𝐞𝐥, 𝐒𝐀𝐒, 𝐏𝐨𝐰𝐞𝐫 𝐁𝐈, 𝐓𝐚𝐛𝐥𝐞𝐚𝐮)