About

Thirupathi Ramakrishna is a Senior Data Scientist at Novartis with over 12 years of rich, end-to-end data science experience in different domains. He is passionate about data analytics and loves to extract knowledge and insights from huge and complex data sets. Thirupathi possesses strong analytical and problem-solving skills and is an effective leader with excellent skills in motivating individual employee performance. Thirupathi's key analytics competencies include Deep Learning, Machine Learning, NLP, Statistical analysis such as Estimation and Testing, Regression modeling and advanced methods, Supervised & Unsupervised learning for Data mining, and Data collection & exploration (R & Python) + Data visualization. Currently, Thirupathi is working on several projects at Novartis, including TOPICNOW, FPO, and Risk classification. In his previous role as a Data Scientist at Novartis, Thirupathi worked on projects such as Clinical Trial LPLV-DBL Prediction for different Phases (ML), NLP Knowledge discovery (Text Analysis and Insights on Sales Rep Survey), and Semantic Textual Similarity for Novartis Manufacturing Sites. Prior to joining Novartis, Thirupathi worked as a Manager, Data Scientist at TCS, where he worked on projects such as Opportunity and Propensity Models for Tenants Targeting, Office Product Recommendation, and Quantum Change Predictor. Thirupathi holds an M.Tech in Telecommunication Technology & Management from the Indian Institute of Technology, Delhi, and a B.E in Electronics and Communications Engineering from Andhra University. He also completed his 10+2 in Mathematics, Physics, and Chemistry from APRJC Nimmakur. Thirupathi's tech stack includes Data Scientist, NLP, Research Scientist, ML, Deep Learning, BERT, AI, Python, Sentiment Analysis, XGBoost, product manager, Random Forest, Computer Vision, Text Classification, NLU, CNN, RNN, OpenCV, Neural Networks, SQL, AWS, Naive Bayes, SVM, Keras, Seaborn, Databricks, Spark, Scikit, Big Data, TensorFlow, Pandas, Pytorch, Azure, and GCP.