Turning complex data into clear, actionable insights through code, cloud, and creativity.
- I’m a Data Analyst, Data Engineer, and Software Engineer focused on building AI-powered, data-driven, and cloud-native systems.
- I love solving complex problems through data architecture, machine learning, and automation pipelines that turn information into intelligence.
🤝 I’m always eager to collaborate, innovate, and deliver scalable solutions that drive real business impact.
Transforming raw data into clear insights using Python, SQL, Power BI, and Tableau.
- 📊 SQL Exploratory Data Analysis Project — uncovering trends and patterns through structured SQL queries.
- 📈 Quantium Data Analytics Project — leveraging Python for customer segmentation, performance metrics, and actionable insights.
Designing and building scalable ETL/ELT workflows, data models, and real-time pipelines for intelligent automation.
- 🎬 Netflix Data Analysis End-to-End Project (AWS S3 → Snowflake → dbt) — modern cloud data pipeline integrating Snowflake and dbt for analytics.
- 🔥 End-to-End Data Engineering Project — PySpark, Databricks & dbt — large-scale data processing and transformation with PySpark and Databricks.
Deploying cloud-native solutions with AWS, Docker, and Kubernetes, ensuring high performance and scalability.
- 🚀 AWS ETL Pipeline — automated cloud data pipeline from ingestion to transformation and visualization.
- 🛒 End-to-End E-Commerce Data Pipeline — orchestrating data flow for e-commerce analytics using AWS and Airflow.
Developing full-stack and AI-driven applications using React, Node.js, and Python, bridging data with intelligent user experiences.
- 🧬 Breast Cancer Machine Learning Predictor App — empowering early detection through predictive ML modeling.
- 🏢 Hewlett Packard Enterprise – Software Engineering Project — building robust and scalable solutions demonstrating enterprise-grade software craftsmanship.
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