Rutika Salunke

Data Analyst | Business Analyst | Data Science | Machine Learning

[email protected]

Resume

Hello, I am

Rutika Salunke.

1

Python
Project

1

PowerBI
Project

1

Machine Learning
Project

1

SQL
Project

About Me

👩🏻‍💻 Rutika Salunke
🎓 Computer Science & Design Graduate

🌸 Passionate about transforming raw data into meaningful insights and building intelligent, data-driven solutions.

✧ 📊 Data Analytics — Data Cleaning, EDA, SQL, Power BI & Excel
✧ 🧠 Data Science — Statistics, Data Visualization & Statistical Analysis
✧ 🤖 Machine Learning — Predictive Modeling, Classification, Regression & Clustering
✧ 🐍 Programming — Python, Pandas, NumPy & Scikit-learn
✧ 📈 Business Intelligence — Interactive Dashboards, KPI Reporting & Business Insights
✧ 💡 AI & Innovation — Exploring AI-powered applications and real-world problem-solving

🌟 Projects & Practical Experience

🚗 Uber Trip Analysis Dashboard

🏦 AtliQ Bank — Target Market Identification & A/B Testing

🏨 Hospitality Domain — Exploratory Data Analysis

🩺 Health Insurance Cost Predictor

🎯 Customer Segmentation

🧠 Mindful AI — Multimodal Emotion Analyzer

💹 Thiranex — Sales & Revenue Analytics

Key Skills

SQL

Power BI

Advanced Excel

EDA

Python

Pandas

NumPy

Scikit-learn

Regression

Classification

Clustering

Statistics

NLP

Computer Vision

Analytical Thinking

Problem-Solving

Communication

My Projects

Expense Management System

Domain/Function: Data Analysis

🚖 Uber Trip Analysis Dashboard

Domain/Function: Power BI dashboard designed to analyze Uber trip data

Student-Placement-Prediction-System

Domain/Function: ML and Jupyter notebook

AtliQ Bank: Target Market Identification & A/B Testing

Domain/Function: SQL for AtliQ

My Experience

Customer Service & Banking Operations — SBI-Related Services

🏦 Currently working in SBI-related customer banking services.
🤝 Assisting customers with banking services and transactions.
📋 Supporting day-to-day banking operations and customer service.
💼 Developing communication, customer relationship management, and business skills.

✨ Customer Service | Banking Operations | Communication | Business Development ✨

Awards & Certificate

Python: Beginner to Advanced For Data Professionals

SQL for Data Science

Math and Statistics For AI, Data Science

Master Machine Learning for Data Science & AI: Beginner to Advanced

Let's Connect

Feel free to get in touch with me. I am always open to discussing new projects, creative ideas or opportunities to be part of your visions.

Mail Me

[email protected]

https://www.linkedin.com/in/rutika-salunke-975244285

GitHub

https://github.com/RutikaSalunke

Python Project

Expense Management System

Domain/Function: Data Analysis

📊 Data Analytics & Business Intelligence Power BI Microsoft Excel (Advanced) SQL & MySQL Data Cleaning & Data Wrangling Exploratory Data Analysis (EDA) Data Visualization & Dashboard Development KPI Reporting & Business Insights

View Project
on GitHUB

View Project
on github

The dashboard breaks down expenses by category, highlights major spending areas, and provides insights for better budgeting and financial planning.

The expense tracker helps users monitor spending, analyze expense categories, and make informed financial decisions through a simple interface.

Project Details

Developed an Expense Management System using Streamlit for the frontend and FastAPI for the backend.

Designed an interactive user interface to manage and track expenses efficiently.

Implemented a REST API using FastAPI to handle communication between the frontend and backend.

Organized the project into separate frontend, backend, and testing modules for better maintainability.

Included test cases to verify application functionality and backend API behavior.

Managed project dependencies using requirements.txt and documented setup instructions in README.md.

PowerBI Project

🚖 Uber Trip Analysis Dashboard

Domain/Function: Power BI dashboard designed to analyze Uber trip data

Developed an interactive Uber Trip Analysis Dashboard using Power BI to analyze trip patterns, ride demand, peak hours, and location-based trends. Visualized key performance indicators to uncover insights and support data-driven decision-making.

View Project
on GitHUB

View Project
on GithHub

Provides a high-level summary of business performance through KPI cards and analytical visuals.

Provides detailed trip-level records for deeper analysis.

Project Details

This project presents an interactive Power BI dashboard designed to analyze Uber trip data and generate meaningful business insights. The dashboard helps understand booking trends, customer behavior, vehicle preferences, trip distances, payment methods, and time-based demand patterns.

Machine Learning Project

Student-Placement-Prediction-System

Domain/Function: ML and Jupyter notebook

Developed a Student Placement Prediction System using Python, Scikit-learn, and Streamlit to predict student placement outcomes based on academic and other relevant features. Built a machine learning model to support placement analysis and present predictions through an interactive web application.

View Project
on GitHUB

View Project
on github

Input Features Age CGPA Skills Count Internship Count Project Count Gender Degree Branch College Tier Coding Level Target Variable Placement Status Placed Not Placed Machine Learning Model Algorithm Used

Handles categorical and numerical data effectively Reduces overfitting through ensemble learning Provides feature importance scores Delivers reliable classification performance Project Workflow

Project Details

Student Placement Prediction System using Python, Streamlit, Pandas, and Random Forest Classifier with feature importance analysis and placement probability prediction. Overview
The Student Placement Prediction System is a Machine Learning web application built using Streamlit and Scikit-Learn. The application predicts whether a student is likely to be placed based on academic performance, technical skills, internship experience, project work, and coding proficiency

SQL Project

AtliQ Bank: Target Market Identification & A/B Testing

Domain/Function: SQL for AtliQ

Developed an interactive Uber Trip Analysis Dashboard using Power BI to analyze ride demand, trip patterns, peak hours, and location-based trends. Visualized key performance indicators to identify travel patterns and generate actionable business insights.

View Project
on GitHUB

View Project
on github

Data Cleaning: Handled missing annual_income values by imputing the median income specific to each customer's occupation. Removed duplicate records and handled outliers in the transaction amounts using category-wise means

The calculated p-value was less than the 0.05 significance level. We successfully rejected the null hypothesis, proving that the new credit card significantly increased user transaction amounts

Project Details

This project focuses on identifying an untapped target market for AtliQ Bank's new credit card and validating its success through statistical A/B testing. The analysis is broken down into two main phases:
Phase 1: Target Market Identification (EDA & Data Cleaning) - Querying customer data via MySQL, handling missing values, and identifying high-potential customer segments.
Phase 2: A/B Testing - Conducting hypothesis testing on a 2-month campaign to determine if the newly launched credit card significantly increased average transaction amounts

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