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Prarthanav/README.md

🦦 About Me

I am Prarthana Veerabhadraiah, a passionate Data Analyst/Engineer and Software Engineer based in Boston, MA. With a strong academic foundation in Data Analytics Engineering and a Bachelor's in Computer Science and Engineering, from algorithms to analytics, my enthusiasm for tech fuels my commitment to continuous learning and innovation.

🚀 Technical Skills

  • Data Analysis: Python, SQL, NoSQL, Kafka, Spark, Hadoop
  • Data Visualization: Tableau, Power BI, Flourish
  • Programming Languages: Java, JavaScript, ReScript, React, HTML, CSS, TailwindCSS
  • Libraries: Pandas, NumPy, Matplotlib, Seaborn, Scikit-learn
  • Developer Tools: Jupyter Notebook, Git, Jira, Visual Studio Code, Linux
  • Cloud and DevOps Tools: AWS, Docker, Kubernetes

🌟 Let's Collaborate!

I am excited about data-driven innovation and enjoy collaborating on diverse projects. LinkedIn | Email | Publications

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  1. Online-Shopper-Behavior-Analyzing-Bank-Marketing-Strategies Online-Shopper-Behavior-Analyzing-Bank-Marketing-Strategies Public

    This project analyzes a bank marketing dataset, employing classification algorithms to predict marketing success. Through exploratory data analysis, feature engineering, and model testing, it aims …

    Jupyter Notebook

  2. Insights-into-Urban-Safety-Analyzing-Crime-Trends-in-Los-Angeles Insights-into-Urban-Safety-Analyzing-Crime-Trends-in-Los-Angeles Public

    This project involves analyzing crime data from 2020 to the present, focusing on cleaning and exploratory analysis. Tasks include data acquisition, inspection, cleaning, and EDA to identify trends,…

    Jupyter Notebook

  3. valorrecruit valorrecruit Public

    A database management system to maintain and form teams based on various statistics for the popular e-sport Valorant

    Jupyter Notebook

  4. RFM-Analysis-for-Customer-Segmentation-in-UK-Online-Retail RFM-Analysis-for-Customer-Segmentation-in-UK-Online-Retail Public

    conducted RFM analysis using a year-long dataset of UK-based online retail transactions to segment customers based on Recency, Frequency, and Monetary value. These insights inform targeted marketin…

    Jupyter Notebook









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