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Nareshkumarmallela/README.md

🚀 About Me

I'm a Data Analyst...

Hi, I'm Naresh! 👋

Data Analyst with 4+ years of experience across financial services, marketing, and real estate — building scalable data pipelines, predictive models, and executive dashboards that drive measurable business outcomes.

Experienced in designing end-to-end ETL pipelines using Databricks, AWS Glue, Lambda, and S3, with hands-on expertise in Python (PySpark, Pandas, scikit-learn), SQL, and cloud-native architectures. Proven ability to transform large-scale datasets into actionable insights — delivering $43K in avoided client penalties, 40% faster reporting turnaround, 35% improvement in customer retention, and 60% reduction in manual processing across enterprise clients including GM, ALDI, and 7-Eleven.

Skilled in building BI dashboards using Power BI (DAX, RLS, Drill-through) and Tableau, with deep experience in data modeling, query optimization, Snowflake, and medallion architecture. Strong foundation in machine learning including Logistic Regression, Random Forest, XGBoost, and regression modeling for real-world prediction and investment analytics.

Holds an MS in Business Analytics from the University of New Haven (2025), awarded the Dean's Scholarship in both 2024 and 2025. Certified in Google Advanced Data Analytics and AWS Data Analytics — passionate about solving complex business problems through data, automation, and storytelling.

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  1. HR-Employee-Attrition-Prediction-Project HR-Employee-Attrition-Prediction-Project Public

    This capstone project was developed for Salifort Motors, a large consulting firm, to tackle a critical business problem: **high employee turnover**. The HR department wants to understand what drive…

    Jupyter Notebook

  2. SUPERSTORE-SALES-DASHBOARD SUPERSTORE-SALES-DASHBOARD Public

    This Power BI project provides insights into the sales data of a superstore. It includes visualizations for sales by segment, category, subcategory, ship mode, region, and quarter.

  3. Real-Estate-Investment-Analysis Real-Estate-Investment-Analysis Public

    This project develops a data-driven real estate valuation framework to identify undervalued residential properties in San Francisco following the 2008 financial crisis using regression-based predic…

    R

  4. Intervue-Database-Project Intervue-Database-Project Public

    This project focuses on creating a robust and centralized database system that forms the backbone of the Intervue platform, enhancing data management, operations, and analytics for all stakeholders.