About

Abhishek Doshi is a highly motivated and skilled individual with a passion for Machine Learning, Data Science, AI, Finance, and Business Development. He is currently working as a Summer Analyst at Goldman Sachs, where he has developed two machine learning-based projects for bulk closure analysis and alert categorization. These projects process about 1.5 Million alerts from the server database and publish the results back to the server in real-time, along with detailed analysis and charts. Abhishek has also developed four workflows for automation within six weeks, which showcases his exceptional project management skills. Abhishek has previously worked as a Machine Learning Engineer and Business Strategist at Vatanukool, where he was responsible for taking crucial business decisions based on customer behavioral trends. He has also worked as an Undergraduate AI Researcher at the Centre of Excellence (CoE) for Complex Non-Linear Dynamic Systems (CNDS) Lab, VJTI. Under the mentorship of Dr. Faruk Kazi, Abhishek has aimed to implement DeepFake detection for real-time scenarios, using an ensemble of low latency algorithms and temporal feature extraction by using optical flow and transformers. Abhishek is a BTech graduate in Electronics and Telecommunication Engineering from Veermata Jijabai Technological Institute (VJTI), with a relevant experience of 0.86 years. He has also completed his schooling from Pace IIT & Medical, Thane. Abhishek's technical skills include ML, Research Scientist, AI, and Data Scientist. Abhishek is an ambitious individual who is always eager to learn and grow. He is a team player who possesses excellent communication and interpersonal skills. His ability to work under pressure and deliver results within tight deadlines makes him an asset to any organization. Abhishek is a quick learner and an analytical thinker, which enables him to solve complex problems efficiently. With his diverse skill set and experience, Abhishek is an excellent candidate for any role in the field of Machine Learning, Data Science, AI, Finance, and Business Development.