ProfileAccomplished Data Scientist with 10+ years of experience building, implementing, and validating digital solutions for health assessment. Successful project lead with a passion for digital transformation, leveraging cutting-edge technologies such as Machine Learning to drive innovation. Proven history of managing projects that ensure compliance with regulatory standards and deliver measurable improvements in health outcomes. Experienced in developing scalable, robust solutions that align with strategic initiatives to advance digital transformation in the industry.
AREAS OF EXPERTISEProfessional skills - Advanced Data Analysis and Interpretation
- Machine Learning Model Development and Deployment
- Generative AI
- Predictive Modeling and Algorithm Optimization
- Digital Biomarker Development and Validation (Pharmaceuticals context)
- Time Series and Sensor Data Analysis
- Feature Engineering and Data Integration
- AI-Driven Decision-Making and Insights Generation
- Data Visualization and Dashboard Development
- Exploratory Data Analysis and Hypothesis Testing
- Scientific Writing
- e-Learning, Blended Learning
Technical skills- Python (NumPy, pandas, scikit-learn, TensorFlow), Flask, Jupyter
- R (ggplot2, Tidyverse, Shiny, Quarto, RMarkdown), RStudio
- Docker
- CI/CD
- VSCode
- Git, GitLab, GitHub, GitHub Copilot, Bitbucket
- Cloud Platforms (AWS)
- High Performance Computing
- MATLAB
- SQL
- Plotly Dash, PositConnect
Soft skills - Strategic Project Management and Goal Setting
- Cross-Functional and Interdisciplinary Collaboration
- Mentorship of Data Science Teams
- Stakeholder Engagement and Communication
- Effective Presentation and Report Writing Skills
- Innovation and Creative Problem-Solving
- Expertise in Working within Matrix Organizations
- Regulatory Knowledge