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Relostar-Devil/README.md
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👩‍💻 About Me

I am passionate about transforming raw data into meaningful insights, leveraging analytics to drive business decisions, and optimizing processes through data-driven strategies. With expertise in Python, SQL, Machine Learning, and Data Visualization, I have worked on various projects in business analytics, AI, and cloud computing, helping organizations make informed, data-backed decisions.

In today’s world of data deluge, I believe that the right approach to analytics can unlock immense potential. By applying my skills in data modeling, forecasting, and predictive analytics, I strive to help businesses enhance efficiency, improve decision-making, and gain a competitive edge.

I am currently pursuing my Master’s in Business Analytics at Arizona State University, where I continue to expand my knowledge in advanced analytics, cloud technologies, and machine learning applications. My experience spans across recommendation systems, customer churn analysis, and AI-powered insights, with a strong foundation in Power BI, Tableau, AWS, and data architecture.

When I’m not working or studying, I love to travel ✈️, explore nature 🏕️, sketch 🎨, and stay active in the gym 🏋️‍♂️.

🔍 What I Do

📊 Analyze Business & Marketing Data to uncover trends and drive strategic decisions
📈 Develop Data-Driven Dashboards & Reports using Power BI, Tableau, and SQL
🔄 Automate Data Processes for operational efficiency and reporting optimization
📡 Work with Large Datasets & Databases to extract actionable insights
🤖 Leverage Machine Learning & Predictive Analytics for business problem-solving
☁️ Explore Cloud-Based Data Solutions (Azure, AWS) for scalable analytics

🌱 Currently Learning

Advanced Data Analytics & Business Intelligence
Cloud Data Engineering (Azure, AWS)
Applied Machine Learning for Business Optimization
NLP and AI-Powered Data Solutions

📫 Check Out!

🔗 LinkedIn: Click Here
🤝 Handshake Profile: Click Here
📊 Tableau Portfolio: Click Here

🛠 Language and tools

python logo jupyter logo mysql logo html5 logo tensorflow logo minitab logo linux logo kaggle logo firebase logo amazonwebservices logo azure logo Tableau logo atom logo cplusplus logo git logo Power BI logo Excel logo

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  1. Analysis-of-Uber-Operational-Data Public

    Addresses key challenges like revenue leakage, driver performance, and cancellation rates. Includes city-level performance optimization, fare discrepancy detection, and cancellation pattern analysi…

  2. Unleashing-Sales-Analytics-Potential-Using-Microsoft-Excel Public

    Dynamic sales dashboard in Excel, leveraging advanced features such as PivotTables, charts, and formulas to analyze a large sales transaction dataset.

  3. Lean-Six-Sigma-Process-Optimization-Gentech Public

    Lean Six Sigma (LSS) case study aimed at improving the proposal creation process at Gentech, a multinational corporation. The study follows the DMAIC framework to identify inefficiencies, streamlin…

  4. Design-of-Experiments-DOE Public

    This Design of Experiments (DOE) study for SCM 517 optimizes a Lego race car’s performance by analyzing the impact of tire size, windscreen size, axle length, and car slant. Using Minitab, factoria…

  5. Tableau Public

    Dynamic and interactive Tableau dashboards for data analysis, including financial forecasting, business performance tracking, and strategic insights

  6. Machine-Learning-Algorithms Public

    Supervised and Unsupervised Machine Learning Algorithms.

    Jupyter Notebook

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