About

Amit Madhup is an experienced data scientist with over 8 years of experience in data analysis and predictive modeling. He is currently working as an Analytics Manager with Expedia global product analytics team. Amit is a graduate of the University of Connecticut School of Business (UConn) with a Masters in Business Analytics and Project Management. He is proficient in SQL, Python, Tableau, Adobe Analytics, Web Analytics, A/B testing, and Project Management. Amit has extensive knowledge of Statistical Analysis, Exploratory Data Analysis, Predictive Modeling techniques, and has worked on different types of data-sets, identifying patterns and developing models using predictive modeling techniques such as Logistic Regression, Linear Regression, Random Forest, Decision Trees, and other Ensemble models using Python. Amit's skills include programming languages such as R, Python, SQL, Hive/Presto, databases such as MS SQL Server, Hadoop, AWS S3, Spark, analytical tools such as RStudio, Jupyter, Adobe analytics/ Omniture, Mixpanel, Tableau, Mixpanel, Qubole, and packages such as scikit-learn, gensim, pandas, numpy, nltk, ggmap, ggplot2, caret. He has expertise in statistical techniques such as Descriptive & Inferential Statistics, Regression, Decision tree, K-Means Clustering, Text Analytics, Random Forest, Naive Bayes, NLP, word2vec, LDA, Time Series Forecasting. Amit has worked with Expedia in the past as an Analytics Manager and Data Scientist III. He has also worked with other companies in the past. Amit is a tech-savvy person with a diverse tech stack that includes Data Scientist, SQL, AWS, Python, Random Forest, test, Jupyter, Naive Bayes, NLP, Word2Vec, Spark, Scikit, Hadoop, Web, Pandas, ML, Apache Hive, Research Scientist, Search, product designer, product manager, ETL. Amit has relevant experience of 9.37 years, and his expertise in data science and predictive modeling makes him an asset to any organization.