Muhammad Talha

DATA ANALYST ( BUSINESS INTELLIGENCE DEVELOPER )
POWER BI | SQL | PYTHON | GOOGLE LOOKER STUDIO | EXCEL

I’m a Computer Science graduate and Microsoft certified Data Analyst with 1 year of hands-on experience in transforming raw data into meaningful business insights. With a solid foundation in Python, SQL, Power BI, Excel, Google Looker Studio and Microsoft Azure. I specialize in conducting exploratory data analysis (EDA), building interactive dashboards, and automating reporting workflows.My work focuses on helping organizations make data-driven decisions by uncovering patterns, identifying inefficiencies, and optimizing operations. I enjoy collaborating with cross-functional teams to improve performance metrics and streamline processes. Passionate about continuous learning and innovation, I’m committed to using data to solve real-world problems and drive measurable impact.

PROJECTS ⬇️

AZURE , SQL and POWER BI

House and Units Approvals Analytics Reporting

📊 Interactive Dashboards: Visualize house and unit approval trends with dynamic charts and filters powered by Azure SQL Server.🧠 Automated Insights: Get real-time, data-driven insights to support planners, analysts, and decision-makers.🏢 Performance Monitoring: Track authority performance and explore property-specific stats for smarter urban planning.

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POWER BI , Azure Data Factory and SQL Server

Real time Inventory and Stock Analysis with Automated Reporting

🔄 Realtime ETL Workflow: Leveraged Azure Data Factory to automate data ingestion and transformation across multiple sources and branches.
🗃️ SQL Integration: Backend SQL queries power performance-optimized views and supply chain insights.📈 Automated Dashboards: Refresh-enabled reports with filters for branches, states, and SKUs.

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Python, PostgreSQL and Power Bi

United States Fires Trends and Analysis

🐍 Python for EDA & Cleaning: Used Python to explore and clean fire incident data for accurate analysis.🗃️ PostgreSQL Extraction: Extracted key insights and structured data using SQL queries from a PostgreSQL database.📈 Power BI Visualization: Built an interactive dashboard to showcase trends and patterns of fire incidents across the US using official government data.

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POWER BI and SQL

Restaurants Bankruptcy Analysis

🧹 Data Preparation: Performed data cleaning, preprocessing, and transformation to ensure quality insights.🗄️ PostgreSQL Analysis: Utilized SQL to extract and analyze key patterns related to restaurant bankruptcies.📊 Power BI Reporting: Created a dashboard to visualize the main causes of bankruptcy in the restaurant industry.

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AWS CLOUD and SQL

SUPERSTORE SALES ANALYSIS

This project leverages AWS S3, AWS Glue, AWS Athena, and AWS QuickSight to analyze superstore sales data. It provides insights into sales trends, customer behavior, and product performance using scalable, cost-effective cloud solutions. The workflow includes data storage, cataloging, SQL querying, and interactive visualizations.

Python and Jupyter Notebook

MENTAL HEALTH ANALYSIS

In this project , I have utilized the health care data to identify key insights identifying mental health issues in the society with a given set of questions using Python and jupyter Notebook.

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PYTHON (pandas, matplotlib, seaborn)

CUSTOMER CHURN ANALYSIS

This project covers in depth analysis of telco churn data to identify reasons behind customers churn. I cleaned , transformed and then visualized data using pandas, matplotlib and seaborn in jupyter notebook.

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CERTIFICATIONS

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