I'm a Data Analyst and Business Analyst passionate about transforming data into actionable insights that solve real-world business problems. I build end-to-end analytics solutions using SQL, Python, Excel, Tableau, and Power BI to analyze data, develop interactive dashboards, and deliver business recommendations that support strategic decision-making.

My portfolio demonstrates the complete analytics lifecycle—from data cleaning, exploratory data analysis (EDA), SQL analytics, dashboard development, and business intelligence reporting to predictive modeling and AI-assisted analytics using real-world datasets across customer analytics, marketing, retail, finance, and business operations.

I enjoy translating complex data into meaningful insights that improve business performance, optimize processes, reduce operational inefficiencies, and enable organizations to make confident, data-driven decisions.

A collection of end-to-end analytics projects demonstrating SQL, Python, Business Intelligence, predictive analytics, machine learning, and AI-powered solutions to solve real-world business problems and support data-driven decision-making.

Developed an end-to-end predictive analytics solution using 32,409 loan applications to identify high-risk borrowers, optimize lending strategies, and support risk-based decision-making with a projected $47.4M reduction in expected annual loan losses.

Key Business Impact:

• ✅ Identified high-risk borrowers using advanced predictive modeling
• ✅ Supported risk-based lending and approval strategies
• ✅ Reduced financial risk through customer risk segmentation
• ✅ Enabled data-driven lending decisions with executive dashboards

Tech Stack:

Python • Pandas • NumPy • Scikit-learn • Tableau

Developed a comprehensive customer analytics solution to identify churn drivers, quantify revenue at risk, and prioritize high-value customers for targeted retention strategies—helping businesses improve customer lifetime value and reduce customer attrition.

Key Business Impact:

• ✅ Identified high-value customers most likely to churn
• ✅ Quantified revenue at risk from customer attrition
• ✅ Recommended targeted retention strategies based on customer behavior
• ✅ Supported proactive customer engagement through interactive dashboards

Tech Stack:

SQL • Python • Tableau

Developed an intelligent analytics platform that transforms raw datasets into automated SQL insights, interactive dashboards, AI-generated business recommendations, and stakeholder-ready PDF reports—reducing manual analysis and accelerating business decision-making.

Key Business Impact:

• ✅ Automated exploratory data analysis and SQL reporting
• ✅ Reduced manual reporting effort through AI-assisted insights
• ✅ Generated stakeholder-ready PDF reports within seconds
• ✅ Enabled faster business decisions using automated analytics workflows

Tech Stack:

Python • Streamlit • SQL • SQLite • Plotly • Groq API • FPDF

Analyzed 166,000+ marketing campaign records across multiple brands to evaluate campaign performance, identify high-value customer segments, optimize marketing spend, and improve campaign ROI through data-driven recommendations.

Key Business Impact:

• ✅ Identified the most profitable customer segments and marketing channels
• ✅ Improved budget allocation through campaign performance analysis
• ✅ Highlighted underperforming campaigns to reduce unnecessary marketing spend
• ✅ Supported strategic marketing decisions with interactive KPI dashboards

Tech Stack:

SQL • Excel • Tableau

Developed a comprehensive retail analytics solution to evaluate sales performance, profitability, supplier efficiency, and inventory health—helping businesses optimize inventory, improve operational efficiency, and support profitability through data-driven insights.

Key Business Impact:

• ✅ Identified slow-moving, overstocked, and stockout-risk inventory items
• ✅ Evaluated supplier and store performance using key business KPIs
• ✅ Recommended inventory optimization strategies to improve profitability
• ✅ Supported operational decision-making with interactive business dashboards

Tech Stack:

SQL • Python • Tableau

I'm continuously expanding my knowledge in modern data science and business analytics:

• 🎯 Predictive Modeling & Forecasting
• 📊 Classification & Regression Analysis
• 💰 Risk Modeling & Assessment
• 👥 Customer Segmentation & RFM Analysis
• 📈 Time Series Forecasting & Anomaly Detection
• 🔗 Recommendation Systems
• 🧠 Causal Inference & Decision Analytics

"Great analytics transcends data examination—it's about asking the right questions, uncovering meaningful patterns, and enabling intelligent business decisions that create measurable organizational impact."

I'm always open to collaborating on data analytics, business intelligence, and data-driven projects!

If you found my projects useful or interesting, please consider giving them a ⭐ and connecting with me.

I'm excited to explore new opportunities and collaborate on impactful data-driven solutions.