👩💻 AIML Engineer | 💡 Tech & Data Enthusiast Skilled in Python, ML, Web Dev & Analytics Building smart solutions with real-world impact 🚀
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Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Hull-Tactical-Kaggle-Competition
January 7, 2026 – Present
My solution for Hull Tactical Market Prediction Competition - Rank 158/4000+ participants
View ProjectTraderPerformanceAnalysis
September 9, 2025 – September 9, 2025
Analysis of trader performance vs Bitcoin market sentiment. Combines historical trader data with market Fear/Greed indices to evaluate how sentiment impacts trading outcomes. Includes data processing, performance metrics, visualizations, and insights for better trading decisions.
View ProjectBlogify-project
April 13, 2025 – April 14, 2025
Blogify is a full-stack blog app using React for the frontend, Node.js + Express for the backend, and MongoDB for data storage. Users can create, view, and manage blog posts, with AI-powered title suggestions via the OpenAI API. It features a clean, responsive UI and supports both localStorage and database-based post saving.
View Project-Sales-Forecasting-and-Inventory-Optimization-at-Big-Mart-Using-Time-Series-Technique
April 11, 2025 – April 11, 2025
Developed a Python based system using ML models for accurate 30 days sales forecasting. Integrated with GCP for real time data access.
View ProjectReal-time-attendance-system
October 16, 2023 – October 16, 2023
Real-time-attendance-system — GitHub repository
View ProjectCustomerSegmentation
January 11, 2023 – October 2, 2023
CustomerSegmentation — GitHub repository
View ProjectCultural Fit Analysis
The candidate's portfolio consists entirely of personal projects, which demonstrates initiative and self-learning. However, the lack of team-based projects or professional experience makes it difficult to assess cultural fit in a collaborative work environment. The projects are diverse within the data science domain, but there's no indication of engagement with broader community or open-source contributions beyond personal repositories.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. The candidate's project descriptions are concise, but there is no information on collaboration, problem-solving approaches, or communication style in a team setting.