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Hannah-Aji/README.md

🔭 Currently enhancing the efficiency of my ETL workflows, particularly in data extraction and processing. In the Data Pipeline Workflow, I successfully automated the collection of stock market prices using Python with scheduled API calls, seamlessly processing the data into an SQL server.

Professional Competencies and Expertise

Area Description
Advanced Data Analysis Proficient in utilizing statistical methods, machine learning algorithms, and data visualization tools to extract actionable insights from complex datasets. Capable of applying advanced analytical techniques to uncover trends and patterns in data.
Data Visualization Skilled in creating clear and compelling visualizations to communicate complex information effectively. Utilizes tools like Tableau and Power BI to craft intuitive dashboards and reports.
Predictive Modeling Passionate about building predictive models, implementing machine learning algorithms, and transforming data into actionable intelligence. Focuses on creating models that forecast future trends and behaviors based on historical data.
Database Management Strong experience in designing and managing databases, performing complex SQL queries, and ensuring data integrity and accuracy. Skilled in database design, optimization, and maintaining data quality across various systems.
Communication Competent in effective communication of data-driven insights and findings to both technical and non-technical audiences in professional capacities.

Tools

Python MS Excel SQL R Tableau Power BI Azure Google Cloud BigQuery Pandas NumPy Hadoop Jira GitHub Adobe

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  1. Sales-Performance-PowerBI Sales-Performance-PowerBI Public

    A Power BI dashboard focused on sales analysis, providing comprehensive insights into sales performance, revenue trends, and key metrics.

  2. Telco-Customer-Churn-Prediction Telco-Customer-Churn-Prediction Public

    This project aims to predict (and prevent) customer churn in the telecom industry with our advanced analytics and machine Learning.

    HTML

  3. Bank-Loan-Segmentation-using-SQL-Excel-Tableau Bank-Loan-Segmentation-using-SQL-Excel-Tableau Public

    The project aims to uncover insights related to loan applications, funding, repayments, and borrower demographics, facilitating data-driven decision-making in the banking sector.

  4. Stock-Market-Data-Pipeline Stock-Market-Data-Pipeline Public

    Automated Stock Price Monitoring and Analysis using Python and SQL

    Python

  5. Predictive-Modeling-to-Identify-High-Risk-Areas Predictive-Modeling-to-Identify-High-Risk-Areas Public

    Predictive Modeling to Identify High-Risk Areas for Targeted Interventions in Chicago, Illinois

    Jupyter Notebook

  6. Web-Scrape-Workflow-python Web-Scrape-Workflow-python Public

    Python