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Rishitha2211/README.md

Hi 👋, I'm Rishitha

Welcome to my GitHub profile! I'm a passionate Data Analyst. Whether it's optimizing business strategies or predicting future trends, I thrive on using data to drive meaningful change.

  • 🔭 I graduated with a Masters in Business Analytics

  • 🌱 I’m currently learning more about deep learning models

  • 👨‍💻 All of my projects are available on github

  • 📝 I regularly read articles on Daily dose of Data Science

  • 📫 How to reach me rishitha221100@gmail.com

📊 What I Do

  • Data Analysis & Visualization: Using Python, R, SQL, Power BI, and Excel to extract insights from large datasets and create meaningful reports and dashboards.
  • Statistical Modeling: Experience in hypothesis testing, regression analysis, and predictive modeling.
  • Machine Learning: Familiar with ML and Deep Learning algorithms, model training, evaluation, and deployment.
  • Data Cleaning & Transformation: Data wrangling, cleaning, and preprocessing to ensure high-quality datasets for analysis and modeling.
  • Reporting & Presentation: Creating clear and compelling visualizations to communicate data insights to non-technical stakeholders.

Connect with me:

rishitha reddy

Languages and Tools:

c django mongodb mysql opencv pandas postgresql python pytorch scikit_learn seaborn selenium tensorflow

Pinned Loading

  1. PowerBI PowerBI Public

    A repo of all the PowerBI projects

  2. A-B-Testing-without-sampling A-B-Testing-without-sampling Public

    An A/B testing analysis to evaluate and compare the effectiveness of different variations of a webpage in driving conversion rate.

    Jupyter Notebook

  3. British-Airways-Forage British-Airways-Forage Public

    A virtual internship program in Forage. For British Airways, As a first part, web scraped customer reviews from SkyTrax and analysed sentiments of the reviews. As a second part, analysed customer b…

    Jupyter Notebook

  4. Customer-Segmentation-and-Predicting-Churn Customer-Segmentation-and-Predicting-Churn Public

    clustering and classification techniques on e-commerce data.

    Python

  5. TED-talks-recommendation-system TED-talks-recommendation-system Public

    Context based recommendation system using topic modeling techniques to generate recommendations.

    Jupyter Notebook