Practical operating-layer work, led by people who have carried the implementation burden.
Rajiv Pardhan (MS Analytics, Georgia Institute of Technology) brings 8+ years of analytics and implementation experience across operations and growth environments.
Rajiv Pardhan, Co-Founder and Chief Data Officer
Rajiv focuses on turning fragmented data into decision-ready operating workflows for mid-market teams.
Education
Master of Science in Analytics, Georgia Institute of Technology.
What this means for clients
Delivery grounded in real implementation constraints, not abstract strategy decks. The goal is always clearer decisions and cleaner operating execution.
Roles that shaped the Aethrix delivery model
A blend of startup execution and scaled operating environments.
Co-Founder and Chief Data Officer
Aethrix
Leads data transformation work for mid-market teams that need clearer operational decisions.
Senior Data Scientist
foodpanda
Led ML initiatives focused on cost optimization and customer experience outcomes.
Data Analytics Lead
Retailo Technologies
Built forecasting and analytics systems for operational planning and inventory decisions.
Capabilities used in delivery
The technical and operating skill set behind implementation, analytics, and adoption.
Data analytics and strategy
Machine learning and AI models
Business intelligence
Python, R, SQL
Data Build Tool (DBT)
Cloud platforms (AWS, GCP)
Stakeholder management
Fraud prevention and risk analytics
Representative work
Examples of analytics and implementation outcomes from prior engagements.
ML-powered fraud detection system
Built anomaly detection models to identify risky transactions and improve response quality.
Stack
Python, scikit-learn, Pandas, SQL
Comprehensive growth analytics platform
Designed a reporting and analytics framework for performance monitoring and decision support.
Stack
BigQuery, DBT, Looker Studio, Python
Demand forecasting and inventory optimization
Built forecasting workflows for demand planning and inventory management across channels.
Stack
Python, AWS Redshift, QuickSight, TensorFlow
Want to discuss your operating decision bottleneck?
Bring the decision that still depends on stitched spreadsheets. We will help you map a practical path forward.