About

Tushita Sharma is a skilled developer with expertise in Python, C++, HTML, CSS, Javascript, Machine learning, OOPs, Operations Management, Customer Relationship Management (CRM), Marketing Management, and Adobe Creative Suite. She is currently working as an Application Engineer Intern at i'mbesideyou inc. where she has developed an ML model in Python to predict the emotional score of a person based on body posture and converted it into an ONNX model. She has also built a C# .NET WPF Desktop Client Application to predict emotions of a person while attending a zoom meeting, added emotional scores in SQLite Database to display on Zoom in real-time and create emotional charts for various time frames, and optimized the performance and RAM usage of the program by removing memory leaks and applying multithreading. Tushita has also worked as an Algorithmic Trader at Bytes Infotech, where she conducted research in Nifty 50 stocks to explore trends in historical data and studied chart patterns to identify market opportunities. She formulated innovative trading strategies that are consistently profitable based on market behavior to manage positions. She developed a Rest API in Flask to get live market data of shares in the Python code scripts, which automate the trading process. Tushita has also worked as a Design Coordinator, Alumni Affairs and International Programmes at Indian Institute of Technology, Delhi, where she designed and built the new website of Alumni Affairs and designed the bimonthly newsletter of AAIP and started Alums of IIT Delhi series. Tushita is a strong media and communication professional with a Bachelor's degree in Textile Technology and a minor degree in Design from the Indian Institute of Technology, Delhi. She is interested in entrepreneurship and has worked as a Project Manager for waste management as a part of Enactus, IIT Delhi. She is actively seeking full-time opportunities for Summer 2022 and can be contacted for her CV. Tushita's education history includes a Bachelor of Technology in Textile Sciences and Engineering from Indian Institute of Technology, Delhi, and CBSE 12th and 10th from Police DAV Public School and The Indian Public School, respectively. Her relevant experience is 1.78 years, and her tech stack includes ML, Python, Javascript, Research Scientist, Flask, and Computer Vision.