Sharon S. is a Computer Science Engineering student at Vignan’s Foundation for Science, Technology & Research, specializing in Data Science. With hands-on experience in Machine Learning, Artificial Intelligence, and data analytics, Sharon has developed innovative solutions such as an autonomous house-cleaning wheeled robot utilizing YOLO, SLAM, and Reinforcement Learning. In her role as a Data Science Intern at Plasmid Innovation, she developed a retail recommendation system, processing large datasets to extract business insights. She is proficient in programming languages like Python and C and skilled in database management with tools like SQL and MongoDB. Sharon is also versed in cloud technologies such as AWS and Google Big Query and excels in using analytical tools like Excel and Tableau for data visualization. Her academic projects include emotion detection using ML-DL techniques and air quality forecasting using satellite imagery.
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