Professional Experience
Senior Principal Data Scientist
Novartis | Jan 2024 – Present
- Lead advanced AI and analytics projects centered on Real World Data-based modeling and interpretation
- Develop generative AI solutions using LLMs, RAG, Prompt Engineering, and Multi-agentic systems to enhance clinical and operational decision making
- Drive innovation in machine learning, causal inference, and explainable AI, translating complex data into actionable insights
General Manager
Juxt Smartmandate Analytical Solutions PVT LTD/Medeva.io | Jan 2015 – Dec 2023
- Directed healthcare and business analytics initiatives applying hybrid ML/DL and model-based techniques
- Oversaw multi-disciplinary teams deploying end-to-end AI solutions across pharma and retail sectors
- Cultivated client relationships and delivered data-driven insights for strategic decision support
General Manager
Smartmandate Analytical Solutions PVT LTD | Apr 2008 – Dec 2014
Senior Consultant
Gyanvriksh Technologies | Jun 2006 – Mar 2008
Team Leader
TNS (Kantar) | Jun 2003 – Jun 2006
Visiting Faculty
Department of Statistics, Osmania University
- Teaching industrial electives focused on data science, machine learning, and analytics
Technical Expertise
- Generative AI Capabilities:
- Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), Prompt Engineering, Multi-agentic AI systems
- Deep Learning: Neural Networks (MLP, RNN, CNN, Self-organizing Maps, Autoencoders)
- Machine Learning:
- Supervised: Linear & Logistic Regression, Regularization, KNN, Decision Trees, Random Forest, XGBoost, SVM
- Unsupervised: K-means, SOM, Hierarchical Clustering
- Dimensionality Reduction: PCA, t-SNE
- Hybrid & customized approaches based on business needs
- Model-Based Techniques: Latent Class Analysis, Hierarchical Bayesian Estimation, Trade-off Analysis, Conjoint, MaxDiff, TURF
- Natural Language Processing: Topic Modeling, Sentiment Analysis, Language Modeling, Named Entity Recognition (NER),Transformers
- Explainable AI: LIME, SHAP
- Causal Inference: Propensity Score Matching, Uplift Modeling
- Tools & Technologies: Python, R, SPSS, SAS, Quantum, Wincross, Latent Gold, Sawtooth Software, Foundry,
Education
|
Degree |
Institution |
Specialization / Thesis |
Year |
|
PhD |
Osmania University |
AI & Machine Learning Algorithms—Neural Network Applications in Classification |
2009-2012 |
|
MPhil |
Osmania University |
Multivariate Analysis Techniques |
2003-2008 |
|
MSc |
Osmania University |
Statistics (Batch Topper) |
2001-2003 |
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