Aru Bhardwaj

– Lead data science consulting practice serving 80+ global clients across retail, enterprise, and technology sectors – Drive business transformation through AI strategy, predictive modeling, and advanced analytics solutions – Deliver ROI-focused data science projects with proven competitive advantage outcomes – Specialize in natural language processing (NLP), statistical machine learning, and business intelligence – Provide strategic consulting on AI implementation, data architecture, and digital transformation initiatives – Lead cross-functional teams to execute complex data science projects from conception to deployment

– Integrated Google's Gemini API and evaluated multiple AI models to enhance image understanding and creative content analysis – Developed an AI-powered recommendation system to improve the quality and relevance of design and marketing suggestions – Built data pipelines and experimentation workflows for automated testing and benchmarking of vision-language models – Collaborated with product and marketing teams to align AI insights with creative strategy and user experience goals – Contributed to the development of a scalable marketing AI framework that improved content personalization and system adaptability – Integrated multimodal AI models, including Gemini API, for image understanding and creative content analysis – Designed a recommendation engine to enhance content relevance and marketing impact – Led experiments benchmarking state-of-the-art vision-language models for product innovation

– Designed and implemented AI-driven systems to analyze construction site data, including visual and sensor-based inputs, for real-time project insights – Developed data pipelines and computer vision models to automate material and equipment tracking across multiple construction sites – Created data analytics frameworks to optimize inventory management, resource allocation, and project efficiency – Integrated predictive modeling and anomaly detection to identify potential delays and material shortages before they occurred – Collaborated with engineers and data teams to establish a scalable, data-driven approach for intelligent construction management – Built computer vision and AI models to analyze construction site imagery and automate material tracking – Developed predictive analytics systems for optimizing inventory, logistics, and project timelines – Enabled real-time operational insights that improved efficiency across large-scale infrastructure projects

– Conducted advanced research projects in industrial organization and geospatial analysis – Led London buses project involving large-scale geospatial data analysis and urban transportation optimization – Handled massive datasets for industrial organization research, applying econometric methods and statistical modeling – Provided research assistance for academic publications and policy-oriented studies – Taught statistical analysis and economics courses to undergraduate and graduate students – Developed innovative methodologies for handling large-scale data in transportation and industrial economics

– Conducted advanced research on non-tariff measures and global value chains using sophisticated econometric analysis – Contributed to writing research papers for the Robert Schuman Centre for Advanced Studies at European University Institute – Collaborated with international research teams to analyze complex trade data and derive insights for academic publications – Applied econometric methods to study international trade patterns and policy implications – Supported data analysis and statistical modeling for policy-oriented research projects

– Developed comprehensive data analysis toolkit and methodologies to support infrastructure development in R&D team – Analyzed complex survey data and conducted rigorous quality assessments to benefit community decision-making – Collaborated with interdisciplinary teams to create innovative solutions for challenging data analysis problems – Built statistical models and visualization tools for community-focused infrastructure projects – Contributed to data-driven insights that informed policy recommendations and community development strategies