AI and product leader. Building production data infrastructure, foundation models, and multi-agent systems at billion scale across health, economics, climate.
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
IMACS-Health-Modeling
Data Scientist
June 19, 2026 – Present
drkaushiksarkar.github.io
April 5, 2026 – Present
Personal contribution dashboard and activity analytics
View Projectepidemiological-methods
April 5, 2026 – Present
Computational epidemiology - spatial statistics, meta-analysis, outbreak modeling, Bayesian hierarchical models, disease mapping
View Projectglobal-health-statistics
April 5, 2026 – Present
R and Stata analysis of global health data - WHO GHO, World Bank WDI, UN Population, DHS surveys, GBD estimates
View Projectsurvival-analysis-matlab
April 5, 2026 – Present
MATLAB toolbox for survival analysis and time-varying models - Cox PH, Kaplan-Meier, competing risks, frailty models, cure rate models
View Projectnumerical-methods-cpp
April 5, 2026 – Present
C++ implementations of numerical methods and data structures - sorting, graph algorithms, dynamic programming, matrix operations, Monte Carlo simulation
View Projectmalaria-surveillance-analytics
April 5, 2026 – Present
Malaria surveillance analytics platform with district-level monitoring, outbreak detection, and automated reporting
View Projectfever-prediction-platform
April 5, 2026 – Present
Production fever and malaria prediction platform with LSTM-Attention fusion models, SHAP explainability, and Bayesian hyperparameter optimization
View Projectbiomedical-ai-framework
April 5, 2026 – Present
Biomedical AI framework - multi-modal learning, drug discovery, genomic analysis, clinical knowledge graphs
View Projectclinical-ml-pipeline
April 5, 2026 – Present
Production ML pipeline for clinical decision support - risk scoring, treatment optimization, outcome prediction
View Projectforecast-engine
March 8, 2025 – Present
Agentic forecasting application with autonomous model selection, multi-indicator prediction, and self-correcting pipelines
View ProjectCultural Fit Analysis
The candidate's projects are primarily personal and heavily focused on biomedical and epidemiological research. While demonstrating strong technical skills, the breadth of application domains outside of health sciences is limited. This might indicate a strong preference for specific problem types, which could impact cultural fit in a broader data science role. The candidate has only one current work experience listed, which is also in a health modeling company, reinforcing this specialization.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. The psychometric test score is 0, providing no insights.