Inquisitive, passionate and love for learning new things - these were the skills that got me into the field of Machine Learning when I started my master’s Program in Electrical Engineering. Having very faint idea about this field, I took up courses in image processing, supervised learning, pattern recognition and neural networks, where I learned the various concepts and techniques used in Machine Intelligence. Throughout my coursework I UMKC, I worked on various projects and assignments that helped me gain confidence in building models for various problem statements, optimizing those models and tuning the parameters. With this knowledge, I worked with my professor on one of his research projects about deep learning model compression. I wrote a code that will compress the VGG 16 model to a smaller size to save space on a system without losing its important features. Later I got a job as an associate engineer where I worked as a content and data analyst for the research and machine intelligence team of Google. My work dealt with large data sets of audios, videos, texts, and images. I was working towards pre-processing of this data and removing the uncertainties from it to get it in a format that will be useful for training the algorithms. Currently, I`m a Data Analyst for veridic solutions where I`m working towards extraction, cleaning, visualizing and finding trends and patterns in the customer data to predict churn rate. If you are looking for a candidate with extensive experience in working with the large datasets, data analysis, and machine learning techniques, I believe my background and experience makes me a perfect candidate. I would love to have an opportunity to discuss with you about my qualifications and goals. ©