- Created a Python automation tool with Pandas, NumPy, and Matplotlib for loan prepayments and financial risk
- Implemented a fraud detection system using SciPy and Matplotlib for 2D financial models, improving fraud
- Created a JavaFX GUI for visualizing financial metrics like CRAR, RWA, and risk models using Matplotlib
- Applied scenario-based simulations, including Monte Carlo methods, to assess hedging strategies in derivatives
- 35 % and reducing financial risk exposure by 20
N
Network Marvels
Junior Software Engineer
Mumbai, IN-MH, IN
June 2021 - March 2022
Skills
Acceptance TestingAgile MethodologyAlgorithmsAluminumApache HadoopArchitectureArtificial Neural NetworksAutomationBackendCascading Style Sheets (CSS)Cluster AnalysisC++ (Programming Language)CryptographyC Sharp (Programming Language)Customer ExperienceData AnalysisDatabasesData Driven TestsData ProcessingData ScienceData TransmissionsData VisualizationDjango Web FrameworkDockerEmbedded ComputersExpeditingFinancial AnalysisFinancial Data AnalysisFinancial DerivativesFinancial ModelingFinancial RiskFlask (Web Framework)Forecasting SkillsFraud Prevention and DetectionGitGovernanceHard Disk DrivesHTMLInformation SystemsInternet of ThingsJavaFXJava (Programming Language)JavaScript (Programming Language)JIRAKerasKnowledge of Electrical EngineeringKnowledge of EngineeringKnowledge of StatisticsLoad BalancingLogistics OperationsMatplotlibMicrosoft OfficeMicrosoft WindowsMongoDBMonte Carlo MethodsMySQLNavigation SystemNotification SystemsNumPyOperational SystemsPandasPortfolio ManagementProgramming LanguagesPython (Programming Language)PytorchReal Time DataReliabilityResource AllocationResource ManagementRisk AnalysisRisk ManagementSafety PrinciplesScikit LearnSciPySecurity SystemsSensitive Compartmented InformationSimulationsSnowflakeSoftware EngineeringSpring-bootSQL DatabasesStress TestingSystem IntegrityTableau (Software)TensorflowTesting SkillsTime SeriesTrend AnalysisWater Resource ManagementWebSocket