
๐ Data enthusiast with expertise in Python, Machine Learning, and Data Analysis. Passionate about building predictive models and uncovering insights from data.
AI is analyzing your overall scoreโฆ
Identifying your key strengthsโฆ
Evaluating your skill match against the job requirementsโฆ
Assessing your cultural and operational fit
local-mcp-client-ollama
February 4, 2026 โ Present
This is the client for the [local-mcp-server-ollama repo]
View Projectlocal-mcp-server-Ollama
February 4, 2026 โ Present
A simple MCP which has tools of Basic Math Calculations like Add, Mul,Div,Sub,Square.
View Projectmcp-remote-server
February 2, 2026 โ Present
Test MCP server using the FastMCP cloud platform
View Projectloan-approval-app-random_forest-
November 13, 2025 โ November 13, 2025
The same data is used as used in the [loan-approval-app] -- before repo(Decision Tree). Here Random Forest is used and got more accuracy and f1_score
View Projectloan-approval-app
November 6, 2025 โ December 2, 2025
loan-approval-app โ GitHub repository
View ProjectHotel-Booking-Prediction
April 21, 2025 โ April 21, 2025
Hotel-Booking-Prediction โ GitHub repository
View ProjectCelebrity-Image-Identifier
April 4, 2025 โ April 7, 2025
Celebrity-Image-Identifier โ GitHub repository
View ProjectGMAIL-DSA-REMAINDER-DAILY
February 27, 2025 โ February 27, 2025
GMAIL-DSA-REMAINDER-DAILY โ GitHub repository
View ProjectSVM_Classification_Prediction-Pass-Fail-
November 17, 2024 โ Present
SVM_Classification_Prediction-Pass-Fail- โ GitHub repository
View ProjectCultural Fit Analysis
The candidate shows initiative through several personal projects, indicating a self-starter attitude. The diversity of projects, while all personal, suggests a willingness to explore different applications of machine learning. However, the lack of team-based projects or professional experience makes it difficult to fully assess cultural fit in a collaborative environment.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. No psychometric test results or interview feedback provided.