2025 undergraduate
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
-College-Rank-Student-Analytics-Dashboard
January 24, 2026 – Present
“This is a real-time internship project where I analyzed live student data from a production website and delivered a Power BI dashboard within one day based on stakeholder requirements.”
View ProjectHR---Attrition-analytics-dashboard
July 30, 2025 – July 30, 2025
HR---Attrition-analytics-dashboard — GitHub repository
View Projecte-commerce-dashboard-project-workshop
July 23, 2025 – July 23, 2025
e-commerce-dashboard-project-workshop — GitHub repository
View ProjectLAPTOP-ANALYSIS-EXCEL-DASHBOARD
July 23, 2025 – July 23, 2025
LAPTOP-ANALYSIS-EXCEL-DASHBOARD — GitHub repository
View ProjectPowerBI-Dashboard-on-Beggar-Survey
June 6, 2025 – Present
PowerBI-Dashboard-on-Beggar-Survey — GitHub repository
View ProjectMobile-Sales-Dashboard-Using-PowerBi
February 20, 2025 – February 20, 2025
Mobile-Sales-Dashboard-Using-PowerBi — GitHub repository
View ProjectHandwritten-Digit-Recognition
November 4, 2024 – November 4, 2024
Handwritten-Digit-Recognition — GitHub repository
View ProjectDiabetes-Prediction
November 4, 2024 – November 4, 2024
Diabetes-Prediction — GitHub repository
View ProjectArgus-DeepFake-Detector
November 4, 2024 – November 4, 2024
This project is a Diabetes Prediction System developed using Python and popular libraries such as NumPy, Pandas, Scikit-learn, Seaborn, and Matplotlib. The system is implemented in a Jupyter Notebook file.
View ProjectCultural Fit Analysis
The candidate's projects show a focus on data analysis and machine learning, which aligns with a Data Scientist role. However, the projects are primarily personal and lack detailed descriptions of collaboration or impact, making a comprehensive cultural fit assessment difficult. The diversity of projects (e-commerce, HR, sales, healthcare) indicates a broad interest in applying data science across different domains.
Soft Skills & Operational Fit
Insufficient data to assess soft skills or operational fit. The candidate's project descriptions are brief, and there are no completed psychometric or English tests to provide insight into communication or work attitude.