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  • Washington University
  • St. Louis
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PranjaliNaik11/README.md

Pranjali Naik

Hi there 👋

👨‍💻 Data Scientist | 🔍 Data Analyst | 📊 Machine Learning Enthusiast | 📈 Data Visualization Expert

About Me

Hi there! I'm Pranjali, a data enthusiast with a knack for turning raw data into actionable insights. I have a strong background in statistics and data analysis and thrive on solving complex problems using data-driven approaches. Currently, I work as a data analyst, where I analyze data to drive business decisions and uncover valuable insights.

I'm a passionate about data science with a background in computer engineering and a focus on machine learning and data analysis. I enjoy solving complex problems using data-driven approaches and building predictive models that have real-world impact.

Skills

  • Programming Languages: Python, R, SQL, SAS
  • Machine Learning: Supervised Learning, Unsupervised Learning, Deep Learning
  • Data Analysis: Pandas, NumPy, Excel, SciPy
  • Data Visualization: Matplotlib, Seaborn, Plotly, Tableau, Power BI
  • Statistical Analysis: Hypothesis Testing, Regression Analysis, Time Series Analysis
  • Machine Learning: Scikit-learn, TensorFlow (basic)
  • Tools & Libraries: Jupyter Notebook, Scikit-learn

Contact Me

LinkedIn: Pranjali Naik

LinkedIn

GitHub Stats Card

Pinned

  1. Logistic_Regression_Credit_Card_Approval Logistic_Regression_Credit_Card_Approval Public

    Credit Card Approval Prediction using Logistic Regression model

    Jupyter Notebook 1

  2. Breast_Cancer_Classfication_using_RandomForest Breast_Cancer_Classfication_using_RandomForest Public

    Breast Cancer Classification using Random Forest Classifier model

    Python 1

  3. Detecting_Fake_and_Real_News_Passive_Aggresive_Classifier Detecting_Fake_and_Real_News_Passive_Aggresive_Classifier Public

    Detecting Fake or Real News using PassiveAggressive Classifier Algorithm

    Jupyter Notebook 1

  4. Zomato-Restaurant-Analysis Zomato-Restaurant-Analysis Public

    Using Zomato API to collect and analyse restaurant data

    Jupyter Notebook

  5. Neural_Networks_Image_Recognition_Sequential_CNN Neural_Networks_Image_Recognition_Sequential_CNN Public

    Comparing the performance of sequential models and Convolutional Neural Networks (CNNs) for predicting numbers from the MNIST dataset

    Jupyter Notebook

  6. SupportVectorMachine_Alphabet_Classification SupportVectorMachine_Alphabet_Classification Public

    Use ksvm(Support Vector Machine) Algorithm to classify alphabets using Vanilla dot and RBF kernels