- Built and curated a catalog of 500+ protein sequences, enhancing cancer drug target research
- Applied AlphaFold to predict protein structures, achieving 90% accuracy in modeling structural changes
- Ranked 1,000 genetic variants, identifying 15 high-impact mutations for further research
- Led the documentation and Collaborated on data-driven decisions by presenting findings that influenced research direction
U
UC Davis Center for Healthcare Policy and Research
Data Scientist
Davis, CA, US
July 2024 - September 2024
A
Alberta Phonetics Lab UAlberta
Machine Learning Engineer Intern
Edmonton, CA
June 2022 - August 2022
V
Vidyalankar Institute of Technology
Machine Learning Research Intern
Mumbai, IN-MH, IN
July 2021 - September 2021
C
Cine Carper
Back End Web Development Engineer
November 2020 - December 2020
Skills
AlgorithmsAmazon Web ServicesApplication Programming Interfaces (APIs)App Store (IOS)Artificial IntelligenceAutomationBackendComputer VisionC++ (Programming Language)Data AnalysisDatabasesData PipelinesData ProcessingData ScienceData StructuresData VisualizationDeep LearningDistributed Data StoreDjango Web FrameworkEngineering MathematicsFeature SelectionForecasting SkillsGenerative AIGitGPTHealth PoliciesInformation TechnologyJava (Programming Language)JavaScript (Programming Language)KerasKnowledge of StatisticsLarge Language ModelsLinux ServersMachine LearningMATLABMetricsModel BuildingMutations (Biology)Natural Language ProcessingNpm(Software)NumPyOncologyOperational SystemsOrganization DevelopmentPackage Management SystemsPandasPhoneticsPHP (Programming Language)PolarizationPostmanPredictive Data AnalysisProblem SolvingProteinPython (Programming Language)PytorchReactJSReinforcement LearningResearch SkillsSafety PrinciplesScikit LearnSeleniumSocial MediaSoftware EngineeringSQL DatabasesStatistical Hypothesis TestingTableau (Software)TensorflowVisualizationVulnerabilityWeb DevelopmentWeb TechnologiesXgboost