I'm currently pursuing an undergraduate degree in Computer Science, Strong in design and integration with intuitive problem-solving skills. Proficient in C++ and Python Language.Passionate about implementing and launching new projects. Apart from the rigorous course load, I managed several extracurricular activities. Having acquired relevant skills and experience.
Area of Interest:- Theory and Algorithm, Deep Learning, and Machine Learning.
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Experience
During my Winter Internship at a start-up based company Verzeo Pvt. Ltd, Bangalore (India), I worked as a Machine Learning Engineer Intern. Working on the supervised and unsupervised machine learning model, I was able to come up with new ideas and strategies of interactions for the internal product. The internship demanded a rigorous study of mathematics associated with the field of Machine Learning. Meanwhile, I have done two projects – “NLP based classifier sentences (including 8000 data set of sentences) and Stock Market Analysis “.
Pertaining to my excellent academic records and technical skills, I was one of the very few students selected for the prestigious MOST GASE Global Talent Summer Research Internship Program in 2020 organized by the Ministry of Science & Technology, Taiwan. Here, I contributed to the project “Machine Translation on Indigenous Language Model” under the guidance of Prof Shi-Jim Yen in Artificial Intelligence (AI-CSIE) Lab, Department of Computer Science, National Dong Hwa University, Taiwan. This was my first Research Internship in Machine Learning & Deep Learning, I worked on the Deep Learning model, especially in the NLP technique. This internship gave me a good and deep understanding of how to come up with new and innovative ideas in Interactions. It provided me with the experience of working in a team and honed my ability in relating the experimental results to the theoretical intricacies of the subject. I was also awarded the Charpak Exchange BCS Scholarship 2019 organized by France Government.
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Projects
Google Maps The Shortest Path Finder
• Description: Using the Graph (Dijkstra Algorithm) to find out the shortest path between the two cities. Also, using spatial indexing and algorithm of computation use Geometry to use organize the maps data and retrieve it efficiently.
• Skills Used: Graph Theory and its algorithm (i.e Dijkstra Algorithm).
File-Classified System
• Description: Created a program that classified our files based on extension, our work easily to collect files based on extensions. It will automatically generate folders based on the extension's name.
• Skills Used: Basic Python and some useful library