Data Analyst | IT Specialist | Web Developer | Software Engineear
I am an IT professional specializing in data analysis, software development, and web applications. I focus on turning raw data and business requirements into practical digital solutions that improve efficiency and decision-making.
With strong experience in Python, SQL, Power BI, and modern web technologies, I build data-driven systems, interactive dashboards, and scalable web applications. This portfolio highlights my projects across data, IT systems, software engineering, and web development.
Developed an interactive Human Resources Analytics Dashboard in Tableau to analyze workforce demographics, employee attrition, performance, compensation, attendance, and recruitment trends. Data was generated using Python and Faker, then cleaned and transformed in Jupyter Notebook using Pandas and NumPy. The dashboard features KPI cards, interactive visualizations, and filters that provide actionable insights to support data-driven HR decision-making.
Developed a real-time retail sales and inventory management system for small businesses using Python, Streamlit, and SQLite. The application enables sales tracking, profit analysis, inventory management, transaction processing, and business performance reporting through an interactive dashboard. The project utilized Streamlit for the user interface, SQLite for data storage, Pandas for data processing and reporting, and Python for business logic and system automation.
The website you are currently on was designed and developed by me to serve as a centralized digital portfolio showcasing my expertise in data analysis, IT systems, software engineering, and web development. The platform highlights my technical projects, professional skills, and career achievements while providing visitors with easy access to my GitHub repositories, LinkedIn profile, YouTube content, and direct contact channels. The project was built using HTML for structure, CSS for responsive and modern design, JavaScript for interactivity, and FormSubmit for contact form functionality.
Developed an interactive sales analytics dashboard for Ferns and Petals (FNP) using Microsoft Excel to analyze revenue trends, customer behavior, product performance, delivery efficiency, and occasion-based sales patterns. The project utilized Power Query for data cleaning and transformation, Power Pivot for data modeling, Pivot Tables for analysis, and Excel dashboards for visualization and reporting.
Developed an end-to-end analytics engineering pipeline using dbt Core and Databricks, implementing the Medallion Architecture (Bronze, Silver, Gold) to transform raw data into clean, analytics-ready models. The project involved ingesting multiple datasets into Databricks, performing modular SQL transformations with Jinja, building reusable dbt macros, implementing data quality tests, seeds, and snapshots for historical tracking, and managing the complete development lifecycle using Git, GitHub, Visual Studio Code, Python, and uv. The project was structured following modern data engineering best practices and prepared for CI/CD deployment.
🚧 Coming Soon This upcoming project will demonstrate the development of a production-ready end-to-end data pipeline using Apache Airflow as the workflow orchestration engine. The pipeline will automate data ingestion, transformation, validation, and delivery by integrating Apache Airflow, Databricks, dbt Core, Apache Spark, and Power BI. It will showcase automated DAG scheduling, task dependencies, data quality testing, monitoring, and end-to-end orchestration while leveraging Python, SQL, Git, GitHub, Visual Studio Code, Docker, and CI/CD best practices to build a scalable, maintainable, and enterprise-grade data engineering solution.