Anupam is a passionate data enthusiast who loves furnishing insights and analytics to achieve opportunity identification, process reengineering and corporate growth. He recently attained his master’s degree in Business Analytics and has worked for over 2+ years on several analytics projects encompassing compelling new data sets, data models and use of statistical and visualization tools to elicit business insights. Anupam loves to slice and dice data using his own methods and you can rely on him to ask questions, connect the dots, and uncover opportunities that lie hidden within, with the ultimate goal of realizing the data’s full potential. He firmly believes that ‘knowledge is power’ and has a natural curiosity to learn new things every day. With his creativity, focus and optimism, he strives to the best of his abilities to achieve his targets. He looks forward to working at the intersection of data analytics and strategic decision making.
Anupam’s Key Strengths include:
Data Analytics Pipeline: Hypothesis Testing, Exploratory data analysis, Feature engineering, Predictive Modelling, Reporting and Data visualization.
Data Science Techniques: Machine Learning, Regression, Optimization, Time Series Analysis, SVM, Clustering, CART, KNN, Random Forest, ARIMA, PCA, Variable Selection, Cross validation, Natural Language Processing (NLP).
Tools: Python, Oracle-PL/SQL, Tableau, SAP Business Objects, SAP Business Objects Data Services-ETL (Extract, Transform, Load), SAS, R.