About

Ashutosh Sharma is a seasoned data science professional with over 6 years of experience in building end-to-end data science solutions for retail and eCommerce giants. He is currently working as a Senior Consultant at Fractal Analytics, where he specializes in customer analytics, web analytics, and financial analytics. Ashutosh has a strong statistical skillset, which includes linear regression, generalized linear models, decision trees, clustering, text mining, and hypothesis testing, among others. He is proficient in statistical tools such as R, Python, SAS, and PySpark, as well as data management tools like SQL, Hive, and Hadoop. Ashutosh is also skilled in data visualization tools such as Power-BI, Tableau, R Shiny, and ggplot2. Ashutosh holds several certifications, including Data Scientist with R from Data Camp, MCSE Microsoft Exam 70-461, and MCSE Microsoft Exam 70-463 for querying SQL and data warehousing. He has a strong academic background with a Master's degree in Business Analytics from the University of Cincinnati Carl H. Lindner College of Business and a Bachelor of Engineering degree in Computer Science from Thapar University. During his professional career, Ashutosh has worked with several companies, including Principal Financial Group, where he worked as a Graduate Student Consultant. He developed NLP models to understand the characteristics of scored data by type of market and topics for Principle Financial to augment equity analyst decision making. He used Decooda for annotation, Bag of words, Word2Vec for feature engineering, R for Modeling, and PowerBI for visualization. Ashutosh also predicted the Management Growth topic with ~60% recall and ~85% precision using machine learning classification techniques like Random Forest and Gradient Boost. Ashutosh's core competencies include teamwork, discipline, collaboration, leadership, motivation, result-oriented, problem-solving, organized, and socially active. He has worked on several academic projects, including the Term Deposit Subscription Prediction project, where he developed a model for a Portuguese bank to predict whether a customer will subscribe to a term deposit or not using logistic regression, decision trees, and ensemble methods. He also worked on the Predicting Median Price of Houses project, where he analyzed historical AirBnB and Zillow data to understand which zip codes would generate the most profit. In summary, Ashutosh Sharma is a highly skilled data science professional with a strong academic background and extensive experience in building end-to-end data science solutions