Hi  , I'm Sweety Seelam
Sweety Seelam

I specialize in

👋 I’m Sweety Seelam, a passionate Data Analyst with over 5 years of experience at Amazon. I specialize in turning raw data into powerful business insights that improve decision-making, performance, and revenue.

💼 My expertise spans SQL, Python, Tableau, and machine learning. I’ve led large-scale customer segmentation, sales forecasting, and sentiment analysis projects — all designed to solve real-world business problems.

🚀 I’m actively working on publishing high-impact, end-to-end projects using open data — with live dashboards, ML-powered apps, and strategic insights.

🌐 I’m open to data-driven roles where I can solve meaningful problems, work with great teams, and deliver measurable impact.

Featured Projects

Customer Segmentation Streamlit App

Customer Segmentation Using KMeans Clustering

Built a KMeans clustering model to segment customers based on behavior patterns. Deployed as a Streamlit app to dynamically explore customer groups and optimize marketing strategies.

🌐 Live App 📁 GitHub Repo
Marketing Strategy A/B Testing App

Marketing Strategy A/B Testing + Conversion Prediction

Combined two-sample statistical testing and machine learning to optimize marketing conversion rates. Delivered actionable insights through a live Streamlit dashboard.

🌐 Live App 📁 GitHub Repo
Conversion Prediction ML App

Conversion Prediction for Marketing Optimization

Logistic Regression ML app predicting user conversion based on ad engagement. Achieved 69% recall and 0.85 AUC, improving marketing ROI by focusing spend on high-probability converters.

🌐 Live App 📁 GitHub Repo