• 📊 I’m passionate about working with data to uncover meaningful patterns and insights that support smarter decision‑making
• 🔍 I approach problems with a blend of business understanding and analytical thinking, ensuring solutions are both practical and data‑driven
• ⚡ I enjoy building end‑to‑end projects focused on data analysis, reporting, and visualization to turn raw information into clear stories
• 🤖 I’m especially interested in AI, consumer behavior, and digital transformation, and how these trends shape modern products and experiences

Build a Machine Learning model(decision tree, random forest, XGBoost ) that predicts whether or not an employee will leave the company based on the data collected by HR department.

• Identify the factors that influence whether an employee is likely to leave the company.
• Build a predictive model that can flag employees at risk of leaving.
• Provide data‑driven recommendations to help HR improve employee satisfaction and retention.
• Support strategic decision‑making by showing which workplace conditions matter most for retention

Focus: · Python · Pandas · Machine Learning · Matplotlib · Feature Engineering · Statictics

🔗Salifort Motors Project

Building a dashboard to help Minnesota Department of Transportation team monitor traffic patterns. Goal is to learn more about:

• Traffic volume throughout the year; ideally organized by year, month, week, day, and hour
• Traffic volume in different weather conditions
• Traffic volume on different holidays

Knowing traffic patterns under these conditions will help the team make important infrastructure decisions. These decisions will ensure that any construction in the future won’t cause problems for drivers.

Focus: · Data Analysis · Tableau · Big Query · Data Transformation

🔗Minnesota Traffic Volume

Bellabeat is a high-tech wellness company that manufactures smart devices designed to help women monitor their health and daily habits. The case study explores Fitbit user data to understand how consumers use devices and translate those insights into actionable recommendations. The goals are to identify

• How do consumers use smart fitness devices in their daily lives?
• How can Bellabeat use smart device data to enhance growth and user engagement?

Focus: · Data Analysis · Tableau · Big Query · Data Transformation

🔗Bellabeat Case Study

Detailed understanding of the bike trends will help to understand how customers are using their bikes and their demands at different station locations currently and how it can be improved in future. Provide customers with better experience and grow the customer base.

• Project Planning : Prepare the project requirement and Stakeholder requirement Documents
• Data Preparion :Using ETL pipeline --> extract , transform and load the data. This is done in BiqQuery from Bigquery public datasets
• Dashboard Design : Design the dashboard in Tableau to analyse the cyclistic data and indetify the trends.

Focus: · Data Analysis · Tableau · Big Query · Data Transformation · ETL Pipeline

🔗Cyclistic Bike Share

Analyze sales, customer, and product data through SQL queries and data visualization for business insights

• Transform raw data into professional-quality reports and dashboards to track KPIs
• Compare regional performance, analyze product-level trends, and
• Identify high-value customers

Focus: · Data Analysis · Power BI · SQL · Data Transformation · Data Cleaning · Data Modeling · DAX

🔗Adventure Works Cycles