- Welcome to Gitup Profile
I'm Sanjay , an enthusiastic and detail-oriented aspiring Data Analyst with a strong foundation in data analysis, visualization, and storytelling. My passion lies in transforming raw data into actionable insights that drive decision-making.
This project focuses on analyzing healthcare data to uncover patterns, identify trends, and provide actionable insights to improve patient care and operational efficiency. The analysis is performed using Microsoft Excel, leveraging its powerful features for data cleaning, exploration, and visualization.
This project involves creating an interactive and dynamic Power BI dashboard to analyze the performance of a bank across various dimensions, such as customer demographics, loan performance, branch profitability, and service usage. The dashboard provides actionable insights to support decision-making and optimize banking operations.
This project involves analyzing customer behavior in an e-commerce business to identify factors contributing to customer churn. The primary goal is to provide actionable insights to improve customer retention strategies. The analysis is conducted using SQL for data manipulation, querying, and extracting meaningful patterns from a relational database.
https://colab.research.google.com/drive/1Stje8R8MXwRBA4oBR9DTXLn7mjISuIPL
📋 Project Overview A comprehensive data analytics project that analyzes marketing campaign performance across multiple channels to derive actionable insights and optimize marketing strategies.
🎓 Project Title Intelligent Real-Time Credit Card Fraud Detection using Machine Learning This capstone project focuses on building an Advanced Machine Learning System to detect fraudulent credit card transactions in real time. Fraud detection is a critical challenge for banks and financial institutions due to highly imbalanced data, evolving fraud patterns, and the need for fast, accurate predictions. This project applies multiple ML techniques, data balancing strategies, and model evaluation metrics to create a robust detection pipeline.
https://colab.research.google.com/drive/1T7OSf_jM688Hjb-PWeV49DJrniHXvPxk?usp=sharing
http://localhost:8888/notebooks/Google%20playstore%20Analysis.ipynb
This repository contains my Data Analyst training certificate from NullClass, along with project files completed during the program. The certification reflects hands-on skills in data cleaning, preprocessing, visualization, and exploratory data analysis using Python.
Python for Data Analysis
Data Cleaning & Preprocessing
Exploratory Data Analysis (EDA)
Handling missing values & data inconsistencies
Data visualization using Matplotlib
Real-time dataset analysis
Converting raw data into actionable insights
📋 Executive Summary A comprehensive machine learning system that detects fraudulent credit card transactions in real-time with high accuracy, minimizing financial losses while maintaining excellent customer experience through reduced false positives.
🎯 Business Impact Financial Institutions: Prevent millions in fraudulent losses annually Customers: Enhanced security with minimal transaction interruptions Regulatory: Compliance with financial security standards and anti-fraud regulations
- Bachelor of Commerce (B.Com)
- Master Of Business Administrition (MBA) HR/ Marketing
- Certification in Data Science & Machine Learning : Illinois Tech US
- Data Science & Machine Learning : Entri Elevate
- Programming Languages : python,machine learning,SQL
- Data analysis Tool : pandas,Numpy,Excel
- Data Visuvalization : Power BI
- Other Tools : Github, Jupyter notebook
- learning tech updates
- Discussing self-improvement and motivation
- Learning books
Thank You Visiting my Github portfolio ! I am always open to new opprtunities and collaboration