Data Scientist in the making 🚀 Python | Data Analysis | Machine Learning
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Coffee-Shop-Sales-Data-Analysis
January 6, 2026 – Present
A fully interactive Streamlit dashboard analyzing Coffee Shop Sales data using Python, Pandas, Plotly, and Altair. It visualizes key business KPIs, revenue trends, top products, category performance, location insights, peak hours, peak days, and customer preferences to support data-driven decisions.
View ProjectMovie-Recommendation-System-ML
December 20, 2025 – December 20, 2025
A machine learning based Movie Recommendation System built using Python and Streamlit. It suggests top 5 similar movies using KNN algorithm and cosine similarity. Integrated with OMDb API to display movie posters. Includes clean UI, contact section, and deployment-ready code.
View ProjectSpam-Message-Classifier
December 19, 2025 – December 19, 2025
A Machine Learning–based Spam Message Classifier built using Python, Scikit-learn, and Streamlit. The app predicts whether messages are Spam or Ham, supports single and bulk message prediction, and provides a simple, interactive web interface.
View ProjectStudent-Management-Project
December 14, 2025 – December 14, 2025
Student Management Project is a Python-based desktop application built using Tkinter and SQLite. It allows admins to manage student records, courses, and fee deposits through a simple GUI. The system supports student registration, course management, fee tracking, and record searching efficiently.
View ProjectBanking_Automation_Project
June 19, 2025 – Present
Banking_Automation_Project — GitHub repository
View ProjectCrop-Recommendation-System-Using-ML
May 25, 2024 – May 25, 2024
Crop-Recommendation-System-Using-ML — GitHub repository
View ProjectHeart-Disease-Prediction
February 7, 2024 – February 7, 2024
Heart Disease Risk Prediction using various ML Algorithms and comparing their accuracies
View ProjectCultural Fit Analysis
The candidate's projects are primarily personal and academic in nature, focusing on individual contributions. While demonstrating technical skills, there is no evidence of experience in collaborative team environments, open-source contributions, or diverse project types that would indicate strong cultural fit for a senior role requiring extensive teamwork and cross-functional collaboration. The projects are also heavily concentrated in Python and ML, lacking breadth in other areas often expected for a senior Data Scientist.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. The candidate's project descriptions indicate an ability to complete projects independently, but there is no information on collaboration, problem-solving under pressure, or communication in a team setting.