Hey I'm Vijay

Portfolio

Telecom Customer Churn Prediction

Fandango’s Inflated Movie Rating 2015

About

Hi there, I'm Vijay, a passionate Data Enthusiast

I am an enthusiastic Data Scientist, equipped with an MBA degree, driven by a passion for exploring the limitless possibilities of data. My academic journey instilled in me a strong foundation in mathematics and statistics, igniting my curiosity to delve into the exciting world of data analysis and machine learning.

Proficient in Python, I leverage its power along with essential libraries such as Numpy, Pandas, Matplotlib, Seaborn, and Scikit-Learn to extract valuable insights from complex datasets. My repertoire includes a diverse set of machine learning algorithms, such as KNN, Naïve Bayes, Logistic Regression, and Decision Trees, empowering me to build robust predictive models.

Additionally, I possess expertise in Ensemble Techniques, skillfully employing Bagging-based algorithms like Random Forest and Extreme Random Trees (ERT), and Boosting-based algorithms like GBDT and XGBoost, to enhance model performance and predictive accuracy. To tackle high-dimensional datasets efficiently, I apply Dimensionality Reduction Techniques like PCA and t-SNE, unraveling intricate patterns and enabling data-driven decision-making. Furthermore, I am well-versed in utilizing tools like MySQL, Power BI, and Tableau, enabling me to create captivating visualizations and actionable insights.

My portfolio exhibits a collection of projects that demonstrate my proficiency in translating data into valuable knowledge and crafting data-driven solutions across diverse domains. As I embark on this data-driven journey, I am eager to collaborate with like-minded individuals and organizations, utilizing the power of data to drive innovation and make a meaningful impact.

Thank you for visiting my portfolio, and together, let's unlock the true potential of data-driven opportunities!

Contact

• vijaycross@gmail.com
• Wagle Estate, Thane (W) - 400 604

• Linkedin
• Github

Elements

i = 0;

while (!deck.isInOrder()) {
    print 'Iteration ' + i;
    deck.shuffle();
    i++;
}

print 'It took ' + i + ' iterations to sort the deck.';