About

Rishabh Sharma is a highly skilled Business Research Analyst with a strong background in Machine Learning and Data Science. He is currently employed at Amazon as a Business Research Analyst - I. Prior to this, he worked as a Data Science Consultant at Fractal Analytics and as a Machine Learning Intern at Applied AI Course. Rishabh is proficient in supervised classification algorithms like kNN, Naïve Bayes, Logistic Regression, SVM, Decision Tree, as well as Deep Learning and Neural Networks techniques like MLP, RNN, LSTM, and CNN algorithms like AlexNet, VGG16. He has programming skills in Python and Keras. He is also proficient in unsupervised machine learning algorithms including KMeans, Hierarchical and DBSCAN Clustering. Rishabh has worked on bagging and boosting Ensemble algorithms and implemented various classification algorithms. He has used various vectorizers like Bag of Words, TF-IDF, Average Word2Vec, and TF-IDF Weighted Word2Vec. Rishabh has experience in performing Exploratory Data Analysis and Visualization using Tableau/Power BI. He has worked on industry-relevant problems to gain a superior understanding of the applied aspects of Machine Learning and Deep Learning algorithms and techniques. Rishabh holds a Bachelor of Technology in Computer Science from RTU. He has relevant experience of 4.27 years and possesses a strong tech stack that includes Research Scientist, Word2Vec, SVM, CNN, Bag of Words, ML, Deep Learning, Keras, AI, RNN, Python, Data Scientist, Neural Networks, Sentiment Analysis, XGBoost, Random Forest, OpenCV, NLP, and TensorFlow. Rishabh is a highly motivated and skilled professional who is passionate about solving complex problems using his expertise in Machine Learning and Data Science. He is a quick learner and a team player who thrives in a collaborative environment.