Aman Sharma Email & Phone Number

California, United States

working on some more cool stuff :P

Rahway, New Jersey, United States

Built a Generative AI-powered chatbot to help stakeholders navigate vaccine toolbars and automate processes of 11 vaccine-related applications such as sales forecasts, performance reporting, launch planning, and campaign resources

Los Angeles, California, United States

Zhipeng Lu Lab - Computational RNA Research

Non-Profit

Currently working with an amazing team to offer harm-reduction + overdose-prevention resources :)Content:‣ Leading four research teams in analyzing peer-reviewed documentation on various substances.‣ Transforming scientific information on substances into educational infographics to promote safety and enable informed decision-making among communities.Grants:‣ Leading a team that applies for grants to secure funding for TACO's operations, including fundraisers and the purchase of resources like Narcan and Fentanyl test strips.‣ Recently collaborated with a TACO founder to apply for the Westly Prize Grant, where we secured $5,000 as finalists.

Los Angeles County, California, United States

Startup

Played a key role in enhancing remote patient monitoring capabilities in multiple roles: ‣ Automated Data Retrieval: Lead development in extracting raw patient data from various devices and tablets, leveraging APIs and Python. ‣ Data Insights & Analysis: Utilized Python to analyze and provide actionable insights for clients regarding health alerts, patient-provider communications, provider performance, and patient profiles.‣ Platform Development: Defined and developed permissions and roles for the remote patient monitoring platform to ensure appropriate access and functionality.‣ Feature Testing: Conducted thorough testing of various features, including alerts, messaging, and video calls, to ensure seamless operation and user experience.

Rahway, New Jersey, United States

Utilized machine learning to classify whether or not a patient's melanoma was metastatic to optimize clinical decision making: ‣ Model Development: Applied and optimized various classification algorithms, including XGBoost, Naive Bayes, Random Forests, and Decision Trees, to evaluate performance in predicting metastatic melanoma.‣ Performance Evaluation: Assessed models using metrics like accuracy, precision, and recall, identifying XGBoost as the best model.Also mildly important:‣ Pinball Performance: Scored 125,000,000 on the Merck pinball machine

Stanford, California, United States

At Stanford's SASI program, I gained hands-on experience in medical techniques like intubation, suturing, and life support. The internship also featured numerous guest lectures in which I learned about and interacted with researchers and preexisting and upcoming technologies in the medical world. Additionally, I worked closely with peers and ALS patients to form a blueprint for a device to help patients suffering from ALS with day-to-day activities.

Master Of Science - Ms, Applied Data Science

Bachelor Of Science - Bs, Quantitative Biology

Minor In Health Innovation

High School Diploma