Intelligent-Advisor-Sem-4/frontend
May 2025 – May 2025
1 Month active
Languages Used
CSSHTMLJavaScriptTypeScript
Technical Skills
API IntegrationComponent DesignForm HandlingFrontend DevelopmentNext.jsReact
Yash200237
PROFILE
Yash200237
Developed core features for the Intelligent-Advisor-Sem-4 project over two months, focusing on both backend and frontend systems. Established a scalable backend foundation using Python, FastAPI, and SQLAlchemy to enable reliable stock data analytics and risk assessment workflows. Implemented robust data retrieval from Yahoo Finance, ensuring clean, reproducible DataFrame outputs for downstream analysis. Extended the backend with a risk scoring system and persistent data models, while the frontend, built with React and TypeScript, introduced a multi-step portfolio optimization wizard with integrated risk assessment. The work emphasized clean architecture, reproducibility, and seamless user experience across data fetching, modeling, and UI/UX design.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
12Total
Bugs
0
Commits
12
Features
3
Lines of code
5,140
Activity Months2
Your Network
10 peopleShared Repositories
10
Work History
May 2025
10 Commits • 2 Features
May 1, 2025May 2025 performance highlights focused on delivering a risk-aware decision framework across backend and frontend, enabling personalized risk profiles and adaptive portfolio recommendations. The work established end-to-end risk score persistence and a user-guided optimization flow, laying a foundation for analytics and risk-based personalization.
10 Commits • 2 Features
May 1, 2025May 2025 performance highlights focused on delivering a risk-aware decision framework across backend and frontend, enabling personalized risk profiles and adaptive portfolio recommendations. The work established end-to-end risk score persistence and a user-guided optimization flow, laying a foundation for analytics and risk-based personalization.
May 2025
April 2025
2 Commits • 1 Features
Apr 1, 2025April 2025 delivered foundational backend work for Intelligent-Advisor-Sem-4, establishing a scalable data pipeline and repository discipline that enables reliable stock data analytics for advisory decisions. Major outcomes include backend scaffolding, dependency management, robust data retrieval from Yahoo Finance, and clean DataFrame outputs suitable for downstream analysis. These foundations reduce onboarding time, improve reproducibility, and set the stage for feature-rich analytics.
April 2025
2 Commits • 1 Features
Apr 1, 2025April 2025 delivered foundational backend work for Intelligent-Advisor-Sem-4, establishing a scalable data pipeline and repository discipline that enables reliable stock data analytics for advisory decisions. Major outcomes include backend scaffolding, dependency management, robust data retrieval from Yahoo Finance, and clean DataFrame outputs suitable for downstream analysis. These foundations reduce onboarding time, improve reproducibility, and set the stage for feature-rich analytics.
Activity
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Quality Metrics
Correctness85.0%
Maintainability81.6%
Architecture80.8%
Performance81.6%
AI Usage26.6%
Skills & Technologies
Programming Languages
CSSHTMLJavaScriptPythonTypeScript
Technical Skills
API DevelopmentAPI IntegrationBackend DevelopmentComponent DesignData FetchingData ModelingDatabase ManagementEnvironment ManagementFastAPIFinancial Data AnalysisFinancial ModelingForm HandlingFrontend DevelopmentGitNext.js
Repositories Contributed To
Overview of all repositories you've contributed to across your timeline
Intelligent-Advisor-Sem-4/backend
Apr 2025 – May 2025
2 Months active
Languages Used
Python
Technical Skills
Data FetchingEnvironment ManagementFinancial Data AnalysisGitVersion ControlAPI Development