Sampreetha Sriram

High school student with coding and data analysis expertise, complemented by leadership experience in STEM initiatives. Demonstrated ability to perform under pressure by presenting technical analyses to U.S. Congress members and MIT professors. Experience in teaching Python and leading a business club, fostering innovation through pitch competitions and speaker events. Strong interest in asset management and financial markets.

• Family Matters and Voices of Women keynote speaker, 11/01/25, Spoke to 100+ young women on the impacts of creating innovative solutions with technology.
• Skin Doc, Created a python project inspired by MIT's Moral Machine, analyzing differences between human decision-making and a reinforcement learning model. Applied convolution neural networks (CNNs) to image classification for the RL model to analyze the difference in human and deep learning decision making and the influence of deep learning on human decisions. Lead the Unity design and graphics for the project.
• Beaverworks Summer Institute Team Splice project, 07/25/25, Created a python project inspired by MIT's Moral Machine, analyzing differences between human decision-making and a reinforcement learning model. Lead a group of 10 people as Scrum leader in a high stakes environment to present project to MIT proffesers

• 2nd Place - Congressional App Challenge, 07/01/25, Presented by the U.S. House of Representatives for creation of the melanoma detection app SkinDoc for Massachusetts' 4th District.
• Founder's Scholarship ($500) - DECA Inc. Venture Camp for SkinDoc creation, 06/01/25
• Semi-Finalist - Lincoln Sudbury Debate Invitational, 03/01/25, Top 3 out of 60 teams in the MSDL circuit.
• Inner View ambassador award

• Watching Tarantino films
• Making wildlife documentaries
• Nature hikes