Prabudhd Kandpal

Associate Consultant

Los Angeles, California, United States3 mos experience

AI EnabledAI ML Practitioner

Key Highlights

Expert in Machine Learning and Data Analysis.
Led impactful projects in the pharmaceutical industry.
Recognized for excellence in case study solutions.

Stackforce AI infers this person is a Machine Learning and Data Analysis specialist in the Pharmaceutical industry.

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Skills

Core Skills

Data AnalysisMachine LearningSales OptimizationPredictive AnalyticsMarketing Analytics

Other Skills

Dataiku DSSDeep LearningExcelLarge Language Models (LLM)LeadershipMachine Learning AlgorithmsMarket AnalysisMicrosoft ExcelNatural Language Processing (NLP)PyTorchPython (Programming Language)SQL(Snowflake SQL)SnowflakeSupervised LearningTableau

Experience

3 mos

Total Experience

3 mos

Average Tenure

3 mos

Current Experience

University of southern california

Course Producer / Grader - CSCI 561: Artificial Intelligence

Jan 2026 – Present · 3 mos · Los Angeles, California, United States · On-site

Zs

Decision Analyst Associate

Feb 2025 – Jul 2025 · 5 mos · Delhi, India · On-site

Developed consulting and analytics expertise in the EX-US pharmaceutical domain through high-impact projects for a top global pharmaceutical company:
1. Sales Force Optimization – UK Market (2+ months):
Led a team of 3 associates under the guidance of a consultant to determine the optimal sales force size for 16 brands across three therapeutic areas: Oncology, Primary Care, and Specialty Care. Built custom sizing models from scratch, using profitability, affordability, and workload build-up approach (for pipeline brands). Collaborated with client stakeholders to align model recommendations with local market dynamics.
Tools: Dataiku (DSS), Python, SQL(Snowflake SQL), Tableau, Excel
2. Early Adopter Prediction Model – Japan (2 months): Designed and deployed a novel ML-based prescriber prediction model to identify early adopters for a newly launched vaccine. Used HCO-level features (e.g., hospital type, bed count, location, demographics) and HCP-level features (e.g., specialty, tenure, historical related product sales) to improve targeting effectiveness.
Tools: Dataiku (DSS), Python, SQL(Snowflake SQL), Tableau, Excel
3. Email Delivery Analysis – Australia (2 weeks): Analyzed promotional campaign email performance (sent, open, and click rates) to improve sequencing and timing of outreach strategies. Recommended optimal scheduling, message types, and interaction order (e.g., face-to-face before email briefings) to enhance engagement and call-back requests.
Tools: Dataiku (DSS), SQL(Snowflake SQL), Excel
4. Project Assists:
Additionally supported the ROI analysis for the New Zealand market and helped conduct a Zero Reach analysis for the Japan market, identifying high-potential HCPs with no prior engagement to improve coverage strategy.
Tools: Dataiku (DSS), Excel, SQL(Snowflake SQL)
Recognition:
1. Awarded “Best Case Study Solution” during ZS’s national induction program
2. Received Associate conversion offer post-internship