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Honey28Git/README.md

Hi there 👋 I'm Honey.

🚀 Data Scientist | AI Enthusiast | Data Enthusiast

  • 🎓 I've successfully completed the Post Graduate Program in Data Science and Business Analytics by Great Learning, in collaboration with McCombs School of Business, UT Austin, Texas.

  • 🚀 My passion lies in the realm of Data Science, where I continually explore the breadth and depth of its techniques and tools to extract profound insights from complex datasets.

  • 🔍 Currently, I'm dedicated to honing my skills across various pillars of Data Science, including Data Analysis, Visualization, Machine Learning, Data Engineering, Deep Learning, and Artificial Intelligence.

  • 🔭 Engaged in diverse projects, I immerse myself in the realms of Data Analysis, Machine Learning, Data Engineering, and Cloud-based Data Science applications, seeking to unravel patterns and insights from vast and intricate datasets.

  • 📫 How to reach me:

  • LinkedIn URL: honey-s-30b71195

  • Feel free to reach out to me via email at [honeysam28.97@gmail.com].

  • Open to collaboration on exciting projects and initiatives.

🛠️ Data Visualization using Tools and Languages:

SQL Python PowerBI Tableau Knime Pandas NumPy Jupyter Notebook Matplotlib Seaborn scikit-learn Stats

I'm Good at:

  • Data Analysis and Data Mining
  • Data Preprocessing and Cleaning
  • Data Visualization
  • Statistical Analysis
  • Advanced Mathematics
  • Clustering Techniques (Hierarchical Clustering, DBSCAN)
  • Dimensionality Reduction (PCA)
  • Hypothesis Testing
  • Building Machine Learning Models
  • Time Series Analysis
  • Dashboard and KPI Development
  • Business Intelligence Tools (Microsoft Power BI, Tableau)
  • Text Mining
  • A/B Testing
  • Feature Selection and Engineering
  • Model Deployment

Adept at using Tools and Packages:

Linear Regression Logistic Regression Decision Trees Random Forest Support Vector Machine Naive Bayes K-Nearest Neighbors Neural Networks Gradient Boosting Bagging

My Github Stats:

GitHub Streak

Pinned

  1. BCG-Data-Science-Job-Simulation-Forage- BCG-Data-Science-Job-Simulation-Forage- Public

    The Following Project is a Data Science Job Simulation Project provided by BCG on Forage.com. Predicting whether a customer will churn using a predictive model.

    Jupyter Notebook

  2. Capstone-Project--Banking-Project--Loan-Default Capstone-Project--Banking-Project--Loan-Default Public

    This project tackles the crucial challenge of assessing Credit Risk Management in banking. Using Supervised Machine learning, the goal is to predict the probability of default, providing insights i…

    Jupyter Notebook 1

  3. Customer-Segmentation-EDA Customer-Segmentation-EDA Public

    The Following is a practice on Data Visualization Project using Python. This Dataset is taken from Kaggle.com.

    Jupyter Notebook

  4. Machine-Learning Machine-Learning Public

    The folliwing ML project involves EDA analysis of Election Dataset, Data preparation for modelling, and prediction using ML models. Also Text Analysis on the inaugral corpora from nltk to analyse t…

    Jupyter Notebook

  5. Predictive-Modelling Predictive-Modelling Public

    Using Linear Regression, Logistic Regression and Linear Discriminant Analysis Models to make accurate predictions for different datasets.

    Jupyter Notebook

  6. SQL- SQL- Public

    The following is a MYSQL project where data analysis is done for "Fastkart" database, a chain of retail stores.