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🌱 Learning → 📊 Analyzing → 🤖 Modeling → 🌍 Solution Python Developer | Data Analyst | Data Science Explorer | Machine Learning & AI Ethics Enthusiast
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Doctor_AI_Voicebot
October 7, 2025 – October 9, 2025
Doctor_AI_Voicebot — GitHub repository
View ProjectSQL-Data-warehouse-Project
August 23, 2025 – September 5, 2025
A modern data warehouse built with SQL Server, showcasing end-to-end ETL processes, data modeling, and analytics. Includes scripts for data extraction, transformation, and loading, along with star schema design for reporting. Provides optimized SQL queries and insights for business intelligence use cases.
View ProjectMutual-Fund-NAV-Forecasting-using-Cloud-Data-Pipeline
August 22, 2025 – October 6, 2025
Built end-to-end NAV forecasting pipeline using Azure services and time-series ML models. Automated data ingestion from APIs using Python and Apache Airflow. Developed ETL workflows in Azure Data Factory and Databricks. Delivered predictions and insights through Power BI dashboards
View ProjectLoan-Status-Prediction-Using-SVM-
August 20, 2025 – June 21, 2024
A Loan Status Prediction system is a machine learning model or application that predicts whether a loan application will be approved or rejected. Using lang. Jupyter Notebook & Python. Below like show the demo >>
View ProjectProject-Hotel-Booking-Analysis
July 25, 2025 – October 6, 2025
Project-Hotel-Booking-Analysis — GitHub repository
View ProjectProject-Predictive-Analytics-for-Customer-Churn
July 25, 2025 – September 14, 2025
Project-Predictive-Analytics-for-Customer-Churn — GitHub repository
View ProjectCultural Fit Analysis
The candidate's project portfolio shows a strong focus on data science and machine learning, which aligns well with a Data Scientist role. The diversity of projects (forecasting, prediction, data warehousing, voicebots) indicates a broad interest within the data domain. 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.