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
Yashodha Thathsarani developed foundational analytics features for the Intelligent-Advisor-Sem-4 repository, focusing on backend and frontend integration for financial advisory workflows. Over two months, Yashodha established a scalable backend using Python, FastAPI, and SQLAlchemy to fetch and clean stock data from Yahoo Finance, ensuring reliable data pipelines for downstream analysis. In the following phase, Yashodha implemented a risk assessment and scoring system, persisting user risk profiles and enabling personalized portfolio recommendations through a React and TypeScript frontend. The work demonstrated depth in data modeling, API development, and UI/UX design, resulting in a robust, extensible platform for risk-based investment analytics.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
12Total
Bugs
0
Commits
12
Features
3
Lines of code
5,140
Activity Months2
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