Ishaan Singh

Background

About Ishaan Singh

I am a first year graduate student at Rutgers University - New Brunswick pursuing computer science with machine Learning track. I have experience in machine learning and business analyses. Right now i am working with Prof Dr. Vivek Singh to enhance the fairness in cyber bullying. Technical Skills: • Programming Languages – Python, R, JAVA, HTML, CSS and JS • Data Analyses – MS Excel, My SQL, R, Microsoft Tableau and Power BI • Data Visualization – Power BI, Tableau, Excel and Python (Seaborn, Matplotlib) • Data Cleaning – Python and Excel • Databases – MySQL, Microsoft SQL Server, MongoDB and NoSQL • Machine Learning – Logistic Regression, Linear Regression, SVM, Random Forest, Decision Tree, Naïve Bayes, k-NN, K-Means and Gradient Boosting Algorithm (XG Boost), Genetic Algorithm • Data Pre-processing – Imputer Function, Smote, Smote-Tomek, Resample, Standard Scalar, PCA and Bagging • Deep Learning – Artificial Neural Network (Forward & Back Propagation) and Convolution Neural Network • Frameworks/Libraries – Hadoop, apache Spark, Scikit – learn, Pandas, NumPy, Matplotlib, Seaborn, Keras and TensorFlow • Fairness Algorithms – Disparate Impact Remover and Optimized Pre-processing • Natural Language Processing – Stop Words, Stemming, Part of Speech Tagging, Lemmatizing, Chunking and Wordnet Courses : 1st Semester - • Data Structures and Algorithms • Artificial Intelligence • Data systems for Data Science 2nd Semester - • Machine Learning • Massive Data Storage & Retrieval • Foundations of Computer Science Github Link - https://github.com/3ishaan1996