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BuildingData Analytics

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Building Data Intelligence, From Raw Data to AI

As a Data & AI Engineer, I build end-to-end data solutions from cleaning and analyzing raw data to creating dashboards, machine learning models, LLM applications, and scalable data pipelines. My work focuses on turning complex data into useful insights, intelligent systems, and business-ready solutions.

Made with Code

Where Data Meets Intelligence

Every project I build combines analytics, automation, and AI. I work with data to discover patterns, create meaningful dashboards, develop machine learning models, and design systems that help businesses make smarter decisions.

From SQL queries and Power BI dashboards to Python-based ML models, NLP applications, and data pipelines, my goal is to build solutions that are practical, scalable, and easy to understand.

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Data Traning and Modelling

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Model analyzing and Visualisation

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Data Cleaning and Preprocessing

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Data engineering and Data pipeline

Where analytics meets AI every project turns data into decisions.

DataIntelligence

Scalable E-Commerce Analytics Pipeline

Built an end-to-end analytics pipeline using PySpark, Azure Databricks, SQL, and Power BI to process 100,000+ e-commerce transactions and visualize revenue, customer behavior, and business KPIs.


tech: "PySpark | Azure Databricks | SQL | Power BI",

GitHub LINK

Customer Retention & Churn Analytics Dashboard

Analyzed customer lifecycle and churn patterns using SQL, PySpark, Azure, and Power BI. Built dashboards to track churn rate, retention rate, and customer lifetime value for business decision-making.


tech: "Spark | SQL | Azure | Power BI | Databricks",

GitHub Link

Customer Sentiment Analytics

Analyzed 50,000+ customer reviews using Python, Pandas, text preprocessing, and Power BI to identify sentiment trends, customer preferences, and satisfaction drivers.


tech: "Python | Pandas | Power BI | AWS | SageMaker",

GitHub Link

Real-Time Sales Analytics Dashboard

A real-time sales analytics dashboard built using Python, FastAPI, and Power BI. This project demonstrates modern data engineering practices, real-time data processing, and interactive data visualization.


tech: "Python | FastAPI | Power BI | Kafka | AWS | SageMaker",

GitHub Link
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