Divas Verma
Lead Data Scientist - CVS Health | ex-McKinsey
- Role
- Lead Data Scientist at CVS Health
- Location
- Medford, MA, US
- LinkedIn followers
- 500 followers
About Divas Verma
Data Scientist professional with 8+ years of experience driving business impact through advanced analytics and AI solutions across life sciences, healthcare, energy and automotive sectors. Proven track record of leading cross-functional teams to deliver scalable ML solutions that generate measurable business value. Currently leveraging my expertise in GenAI and ML as a Lead Data Scientist at CVS Health, focusing on innovating supply chain operations in the pharmacy space. Passionate about democratizing AI by coaching teams and building scalable solutions.DS toolkit - My expertise spans a comprehensive range of analytical methods including predictive modeling, optimization (MILP, LP, metaheuristic), causal inference, and time series forecasting, with proven success in translating these techniques into business solutions.Skills: Python, PySpark, SQL, PyTorch, Kedro, Tableau, ThoughtSpot, AWS, Databricks, Azure, Docker
Experience
Lead Data Scientist
Jun 2024 — Present · Boston, MA, US
Lead Data Scientist driving innovation in pharmacy supply chain operations by building AI/ML powered solutions- Leading the development of ML solutions with robust engineering practices, focusing on scalable architectures that optimize supply chain efficiency and enhance pharmacy operations- Spearheading the adoption of GenAI technologies while serving as an AI strategist and technical advisor- Mentoring teams on emerging technologies and ML best practices
Education
Netaji Subhas Institute of Technology
Bachelor of Engineering (BE), Electrical, Electronics and Communications Engineering
2011 — 2015
Columbia University
Master's degree, Operations Research
2017 — 2018
Skills
- Matlab
- Sql
- Qlikview
- Data Warehousing
- Mysql
- C++
- Business Analysis
- Research
- Business Development
- Informatica
- Data Structures
- Python
- Algorithms
- Data Analysis
- Statistics
- C
- Programming
- Microsoft Office
- Java
- Business Strategy
- Public Speaking
- R
- Microsoft Word
- Microsoft Excel
- Powerpoint
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