Hi, I'm Divyanshi Rastogi 👋
MCA Data Science & AI Student
@ BBD University
I explore patterns, build models, and transform data into impact.
Occasionally, I fall in love with beautiful visualizations.
Curious//System Thinking//Fast Learner//Curious//Creative//Problem Solver//Curious//System Thinking//Fast Learner//Curious//Creative//Problem Solver//
Data Science Toolkit
{ A comprehensive toolkit for transforming data into insights }
Programming
Data Analysis
Machine Learning
Visualization
Statistics
Tools
Real-World Practice Projects
{Projects showcasing my approach to solving data problems}
// Challenge
Customer churn directly impacts business growth and revenue. The goal of this project was to analyze customer behavior and identify key indicators that signal a high probability of churn.
// Approach
Performed exploratory data analysis on customer and transaction datasets to understand behavioral patterns. Engineered RFM-based features including recency, frequency, average spend, and customer tenure to capture engagement signals. Trained a Logistic Regression classification model using Scikit-learn with balanced class weights to address class imbalance and improve churn detection.
// Outcome
The model identified key churn drivers, with recency emerging as the strongest predictor of customer attrition. These insights help businesses identify high-risk customers early and support data-driven retention strategies.
// Challenge
Businesses often struggle to monitor sales performance, profitability, and product returns across regions and channels. This project aims to build an interactive dashboard that provides clear visibility into revenue trends and operational performance.
// Approach
Developed a multi-page Power BI dashboard to analyze sales performance across revenue trends, regional performance, product categories, and sales channels. Created calculated measures using DAX to compute KPIs such as profit margin, return rate, and net revenue. Implemented interactive filters and visualizations to enable dynamic exploration of business performance.
// Outcome
The dashboard provides a comprehensive view of sales performance by highlighting key revenue drivers, regional trends, and return patterns. It helps stakeholders identify profitable segments, high-performing regions, and areas where returns may be impacting overall revenue.
Divyanshi Rastogi
Lucknow | IN
My work in data science is guided by discipline, curiosity, and a strong focus on fundamentals. I am currently pursuing an MCA in Data Science & AI @ BBD University after completing my BCA with an 8+ CGPA.
I approach data problems with discipline and clarity, using careful analysis and well-defined processes to develop insights that are both dependable and clearly communicated.
I am looking for an environment where I can contribute responsibly, learn consistently, and grow as a data professional.