Pratyush Agarwal — AI Researcher
- Result-driven Data & Analytics professional with a proven track record of driving business impact through experimentation, automation, and data-driven decision-making. - Skilled in A/B testing, causal inference, statistical modeling, and real-time analytics, with hands-on experience in product optimization, growth analytics, and supply strategy. Product & Business Analytics - Designed A/B & switchback experiments optimizing product adoption & engagement - Eliminated $4K/day in revenue leakage, reducing restaurant attrition by 15% MoM through automated insights - Built scalable dashboards, removing manual tracking & saving 2 analyst-days per week - Enhanced category conversion (+1pp) and order contribution (+3pp) via consumer funnel optimizations Real-World Evidence and HEOR: - Developed statistical models & real-world evidence (RWE) enabling $3.7M in savings & a $10M revenue boost - Improved model accuracy by 25% and reduced error by 15% through stable balancing weights in R and non-parametric bootstrapping, eliminating baseline bias and outperforming conventional propensity-based methods - Automated data workflows, cutting turnaround time by ~30% and reducing errors to zero. - Published research in Medical Devices: Evidence and Research (CiteScore 3.0) on clinical outcome comparisons. Core Competencies ✔ A/B Testing & Experimentation ✔ SQL, Python, R: Data Wrangling and working with large streams datasets ✔ Data pipeline creation, reporting, and visualization with PowerBi and Tableau ✔ Causal Inference & Statistical Modeling ✔ Advanced Excel Analysis (VBA, Index-Match, Pivot) ✔ Data Pipeline Automation | Real-Time Analytics | Product & Business Growth Analytics ✔ Data Visualization (Power BI, Tableau) | KPI Design | Cross-functional Collaboration & Mentorship
Stackforce AI infers this person is a Data Science professional with expertise in E-commerce and Healthcare analytics.
Location: Bengaluru, Karnataka, India
Experience: 5 yrs
Skills
- A/b Testing
- Experimental Design
- Data Visualization
- Data Pipeline Automation
- Data Analysis
- Business Insights
- Causal Inference
- Statistical Modeling
- Statistical Analysis
- Deep Learning
Career Highlights
- Reduced revenue leakage by $4K/day through automation.
- Generated $3.7M savings and $10M revenue boost.
- Designed scalable dashboards saving 2 analyst-days weekly.
Work Experience
Uber
Data Science (1 mo)
Swiggy
Analytics Manager (1 yr 5 mos)
Senior Data Analyst (1 yr 4 mos)
Mu Sigma Inc.
Decision Scientist 3 (1 yr 3 mos)
Decision Scientist 2 (11 mos)
Trainee Decision Scientist (3 mos)
National University of Singapore
Research Intern (0 mo)
Education
Bachelor of Technology - BTech at Kalinga Institute of Industrial Technology, Bhubaneswar
