About Roopam Upadhyay |
| Roopam is a seasoned professional of advanced analytics with over 15 years of experience in machine learning, statistical modeling, data science, predictive analytics, & business consulting. He is a graduate from IIT, Bombay. Roopam has extensive experience in business analytics consulting and process deployment. He has designed numerous innovative advanced analytics frameworks in highly diverse fields such as Sales and Marketing Analytics, Risk Analytics, Operations, and Finance Analytics. To add to that, he has successfully designed, developed and deployed advanced analytics systems with organizations such as World Bank Groups – Internation Finance Corporation, American Express, Reliance Capital, Axis Bank, Allstate Insurance, DHFL, Wipro, Syntel etc. He has pioneered analytics effort for several organizations. Additionally, he has helped and mentored analytics professionals and talent from / at several organizations / institutions including : ICICI Bank, Indian Institute of Management (IIM) Lucknow, John Deere, Crompton Greaves Ltd., Transworks – KPO (an Aditya Birla Company), University of Central Florida, Hapag Lloyd, National Institute of Industrial Engineering (NITIE), Institute of Technology & Management, and Future Education Ltd. (A Future Group Company) etc. You could read Roopam’s predictive analytics and big-data blog at www.ucAnalytics.com Specialities: Banking & Finance | Predictive Analytics | Business Strategy | Credit Risk Management | Data Science | Marketing Analytics | Advanced Statistics | Data Mining | Project Management | Operations Research | Customer Relationship |
About Kushagra Singhnia |
| Kushagra, an IIT Delhi alumnus, has a keen interest in Problem Solving, Deriving insights from Data and Improving the efficiency of processes with new-age technologies. Over 8 years of experience in Analytics and Data Science. Specialities: Linear models (like Linear Regression, Logistic Regression, Ridge Regression, Lasso Regression), Tree-based algorithms (like Decision trees, Bagging, Random Forest, GBM, XGBoost), clustering (like K-Means, Hierarchical),Time-series analysis (like ARMA, ARIMA, stationarity), Deep learning(CN, RNN), NLP Techniques(TFIDF, LDA, Topic Modelling) Kushagra has trained 500+ participants in R, Machine Learning, Tableau and Python, Big Data Analytics at Dimensionless. |
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