• 🎓 Pursuing M.S. in Data Science at University of Massachusetts Dartmouth
• 🔍 I build ML models, analyze data, and create dashboards to solve real-world problems
• 💡 Passionate about turning raw data into meaningful business insights
• 🌱 Currently exploring: Model Deployment · Advanced NLP · Data Engineering
• 🎯 Open to: Data Scientist · Data Analyst · ML Engineer roles

Languages & Libraries

Machine Learning

Analytics & Visualization

Cloud & Data Engineering

Databases

Tools

University of Massachusetts Dartmouth · Jan 2026 – May 2026

• Analyzed large datasets using Excel, SQL, and Python to generate actionable insights for academic and administrative decision-making
• Built interactive dashboards in Power BI/Tableau to track KPIs and performance metrics
• Automated weekly/monthly reports, reducing manual reporting time by 30–50%
• Conducted EDA to uncover patterns and support research projects

India · Aug 2023 – Sep 2023

• Analyzed structured business datasets using SQL and Python to identify trends and support data-driven decisions
• Designed interactive Power BI dashboards to track KPIs and operational metrics
• Cleaned and transformed raw datasets to improve data quality and reporting accuracy
• Collaborated with cross-functional teams to translate business requirements into analytical solutions

India · May 2023 – Jul 2023

• Built ETL pipelines using Python and SQL to ingest, transform, and load data from multiple sources
• Managed cloud-based data storage and processing workflows on Azure Data Lake
• Optimized data pipelines to improve performance and reliability
• Implemented data validation and monitoring checks to ensure data consistency

Analyzed large-scale sales data to uncover revenue trends, regional performance, and product profitability. Built interactive dashboards to support business decision-making.
Python SQL Pandas Tableau EDA Power BI

Segmented customers using clustering and predicted Customer Lifetime Value to drive smarter marketing and retention strategies.
Python Scikit-learn K-Means Clustering Regression Pandas

Built a CNN-based deep learning model to detect lung cancer from CT scan images, improving classification accuracy for medical diagnosis.
Python CNN Deep Learning Medical Imaging Scikit-learn

• 🚀 Deploying Customer Segmentation as a live Streamlit app
• 📊 Building my Kaggle profile with project notebooks
• 📝 Writing my first Medium article on end-to-end ML model building

• 🤖 Build end-to-end data science and machine learning pipelines
• ☁️ Strengthen cloud and data engineering skills (AWS · Azure · Databricks)
• 📊 Work on impactful real-world datasets and open-source contributions