Portfolio

Skills&Tools

Front-end

  • HTML/CSS
  • JavaScript
  • React / Next.js
  • Tailwind CSS

Back-end

  • Node.js
  • Express
  • MySQL / PostgreSQL
  • Prisma

Other

  • C/C++ Programming
  • Google Colab
  • VS Code
  • Postman

Projects

MoneyMap|FinanceTrackerApp

GitHubVercel Deployment

Dashboard of MoneyMap
  • DevelopedasecureandscalablefinancetrackerusingNextJS15andTailwindCSSwithClerkauthenticationandSupabasedatabase,deployedonVercel.
  • IntegratedGoogleGeminiAPItoautomatetransactionreceiptparsingandpopulatedataaccurately.
  • Implementedrobustbotprotection,ratelimiting,andemailvalidationviaArcjettoenhanceplatformsecurityandreliability.
  • AutomatedtransactionalandmonthlybudgetreportswithResendforreal-timeusernotificationsandinsights.
  • EnabledtransactiondataexportinbothCSVandPDFformatsforseamlessreportingandofflineaccess.

DashFlow|ProjectManagementApp

GitHubVercel Deployment

kanban board of Dashflow
  • DevelopedaJira-styleprojectmanagementplatformwithNextJS15andTailwindCSS,featuringanintuitiveKanbanBoardforreal-timetasktracking.
  • Integratedadvancedanalyticsincludingmonthlyspendingtrends,networthtracking,budgetmanagement,cashflowanalysis,andfinancialhealthinsightstoempowersmarterdecision-making.
  • Implementedsecureauthenticationandmulti-organizationrolebasedaccessusingClerk,enablingcollaborationacrossmultipleteamsandprojects.
  • DesignedascalablebackendwithNeonDBtosupportdynamicissuemanagement,sprintplanning,andworkflowcustomization.
  • DeployedtheapplicationseamlesslyviaVercel,ensuringfast,scalable,andreliableperformanceinproduction.

Education

CourseYearUniversity / SchoolCGPA / %
B.Tech (MAC)2022 - 2026Netaji Subhas University of Technology7.88
CBSE (Class XII)2022Sarvodaya Bal Vidyalaya No.292.8%
CBSE (Class X)2020Sant Nirankari Public School95.4%

Extras

SentimentAnalysisinApacheSparkMLlib

GitHubGoogle Colab

sentiment analysis stats
  • BuiltascalableMLpipelineonPySparkusingApacheSpark3.3.2andSparkMLlibfordistributeddataprocessingandclassificationtasks.
  • Executeddataexploration,cleaning,andlabelencodingonaTwittersentimentdataset,filteringirrelevanttweetsandpreparingdataformodeling.
  • Appliedtokenization,stop-wordremoval,andTF-IDFfeatureextractiontoconverttweettextintomeaningfulnumericalrepresentations.
  • TrainedandevaluatedaLogisticRegressionmodelusingSparkMLlib,achievingperformanceinsightsviaaccuracy,precision,recall,andF1-scoremetrics.

LSTMTemperatureForecastModel

GitHubGoogle Colab

Temperature prediction graph
  • CollectedandpreprocessedhourlyweatherdataforDelhi(2010–2025)byhandlinganomalies,scalingfeatures,andgeneratingtime-seriessequences.
  • DevelopedadeeplearningmodelusingstackedLSTMlayerswithdropoutanddenselayers,builtwithTensorFlow/Kerastolearntemporalpatterns.
  • Trainedthemodelover35epochsusingtheAdamoptimizerandMSEloss,validateditsperformanceusingRMSE,andvisualizedpredictionswithMatplotlib.
  • Savedthetrainedmodelasa.h5fileforreuseandoutlinedfutureimprovementsincludinghyperparametertuningandintegrationofadditionalweatherfeatures.