About

Gauri Sharma is a highly skilled post-baccalaureate degree student at IIT Madras, specializing in data science and programming. With 3.35 years of relevant experience, she has a strong background in C++, Python, Java, DBMS, and shell scripting, as well as advanced engineering mathematics for data science and statistics. She is proficient in using machine learning tools such as TensorFlow 2.0, Keras, and Scikit-Learn, and has experience in supervised and unsupervised learning, as well as reinforcement learning. Gauri's areas of interest include business intelligence, information systems, data mining, data modeling, predictive analysis, and descriptive analysis. She has also volunteered over 500 hours of social work in the areas of human rights and education for the socio-economically challenged in South Delhi, Gurugram, and Faridabad. Currently working as a data analyst at emachat luxe, Gauri is responsible for designing and maintaining data systems and databases, mining data from primary and secondary sources, using statistical tools to interpret data sets, creating documentation, and preparing reports. She has also previously worked as a junior Java developer at Infosys, where she was involved in designing and implementing Java-based applications, analyzing user requirements, defining application objectives and functionality, and developing and testing software. She has also worked as a senior business intelligence analyst at Pooja Metal Processors Pvt. Ltd. - India, where she was responsible for creating and discovering new data procurement and processing programs, monitoring analytics and metrics results, and implementing new data analysis methodologies. Gauri has a post-baccalaureate degree in data science and programming from IIT Madras, as well as a bachelor's degree in computers and communication engineering from Manipal Institute of Technology. She also holds a certification in artificial intelligence and deep learning from IIT, and has completed the Landmark Forum program in transformative learning. Her tech stack includes ML, data scientist, reinforcement learning, SVM, random forest, Pandas, Java, Keras, AI, Python, deep learning, Scikit, Seaborn, TensorFlow, Big Data, MySQL, Spring, Microservices, and software engineering.