- Designing and teaching data science curriculum alongside David Song, Moon Hwan Kim, and Thanujaa Subramaniam MD for Brown Medical Schools’ Clinical Researchers as a 3 day workshop- Connecting Brown University Computer Science & Data Science students with current research opportunities at The Brown Medical School through a tailored website that acts as a portal to let students apply their skills and do research that also benefits current clinical researchers at The Warren Alpert Medical… Show more - Designing and teaching data science curriculum alongside David Song, Moon Hwan Kim, and Thanujaa Subramaniam MD for Brown Medical Schools’ Clinical Researchers as a 3 day workshop- Connecting Brown University Computer Science & Data Science students with current research opportunities at The Brown Medical School through a tailored website that acts as a portal to let students apply their skills and do research that also benefits current clinical researchers at The Warren Alpert Medical School of Brown University Show less

- Worked in the Program Management Office to design strategy in order to effectively create, modify, and present deliverables to the client as well as lead, motivate, and coordinate cross-functional collaboration and implementation of strategy between The Cloud, Cybersecurity, & Data Science Teams using SCRUM Methodology

- Machine Learning Honors Research within The Carney Institute for Brain Science focusing on decoding time-series data for prediction of EEG/SEEG Signals through the use of different Machine Learning Frameworks & Neural Computation Models- A voice for the creation of The Computational Neuroscience Undergraduate Concentration so future Brunonians can see the many parallels between the worlds of natural and artificial intelligence

- Selected by The Brown Data Science Institute for a leadership position: teacher for data wrangling, statistical analysis, statistical modeling/visualization, machine learning, and predictive analysis to current professors through the application of Python and its Machine Learning/Deep Learning Libraries such as Pandas, Numpy, Matplotlib, and Pytorch in order to help create curriculum at Brown University- Hands-on application of different project management frameworks, such as Agile… Show more - Selected by The Brown Data Science Institute for a leadership position: teacher for data wrangling, statistical analysis, statistical modeling/visualization, machine learning, and predictive analysis to current professors through the application of Python and its Machine Learning/Deep Learning Libraries such as Pandas, Numpy, Matplotlib, and Pytorch in order to help create curriculum at Brown University- Hands-on application of different project management frameworks, such as Agile, SCRUM, Waterfall, & Kanban Show less

- A global network of Brown angel investors who support seed and early stage startups founded by Brown students and alumni

- Tutored high school students on math, science, standardized tests, and helped plan out college applications/essays in person and online adjusting for COVID-19- Scored perfect on the ACT and have had two students achieve the same, with over 50% of clients have been accepted into institutions such as Brown, Stanford, Harvard, Princeton, University of Pennslyvania, UChicago, Duke, and USC

- Tutored curious students about the inner-workings of neuroscience, cognitive science, neurobiology, mathematics, and statistics in person as well as through virtual sessions for students who wanted to learn outside of school hours

- Developing and applying alpha ML models & calibrating risk models for a fund with $25,000 AUM

- Mentor with experience founding two companies, working in two early-stage tech startups, along with being part of a Brown led startup backed by Y Combinator (Bloom)

- Worked in a cross-functional team to develop large-scale financial wellness programs alongside Morgan Stanley's Strategy & Operations team to enhance client relationships through market research and predictive analysis to support sustainable growth of client wealth

- Analyzed inventory/selling history and conducted research via data analysis to identify products with high demand and low supply, managed income statement and balance sheet; achieved breakeven in 10 days and maintained a 67% margin, $3,050 in sales / $1,000 COGS, achieved by consistently generating $240-320 in sales each operating day

- Worked in the Global Technology Group where I delivered pitch books, built financial & statistical models, and ran predictive analyses on market data

- Managed marketing and finances of this Brown based SaaS Fintech Startup backed by Y Combinator (W21) that helps young adults learn how to invest- Helped achieve $3M+ ARR & 1M users

- Prepared rudimentary parts for radiative cooling panel testing, trials involve the use of different epoxies and their compatibility with measured, cut, and installed insulation and base parts for radiative cooling panel piping- Conducted techno-economic analysis in regards to times of day, regions, types of utilities in said regions, and states to create tariff structures for all of our customers

- Worked at front of house managing payments, orders, deliveries, and pickups while aligning with current COVID-19 Protocols- Was elected as employee of the month my second month working there for work ethic and customer service

- Worked on the supply line manufacturing components of circuits and processing them in clean room environments with a focus on conducting experimental design on slugging machines through Solidworks models and the coding of Servo Motors as the OEM for large EV companies, such as Tesla- Compiled and presented data to management of solo experimentation on 150+ testing strips using varying heat, adhesive bindings, and alloys to observe which circuits had the optimal ratio of adhesiveness:… Show more - Worked on the supply line manufacturing components of circuits and processing them in clean room environments with a focus on conducting experimental design on slugging machines through Solidworks models and the coding of Servo Motors as the OEM for large EV companies, such as Tesla- Compiled and presented data to management of solo experimentation on 150+ testing strips using varying heat, adhesive bindings, and alloys to observe which circuits had the optimal ratio of adhesiveness: subsequently modeled optimal circuits in CAD Software for future use Show less