Anuj C.

Hi I'm Anuj 👋 - Worked with multi-Billion dollar Fortune 100 companies like Gilead, Johnson & Johnson, Bristol Myers Squibb, Cencora. - I've generated $3M+ in revenue with Data, AI & Automation solutions. -Specialize in growth systems, GTM outbound systems & fixing business process pitfalls that are bleeding you money. -Familiar with Make, Python, SQL, Pyspark, Databricks & more. ____________________________________________________________________ Longer ( Sit down and read Version) Hi, I’m Anuj 👋 An AI & Data Consultant with over 6 years of experience delivering analytics and automation solutions for Fortune 100 clients across multiple industries including Retail & Healthcare. I sit at the intersection of AI, process, and product, helping organizations turn complex data into simple, scalable systems that drive measurable business outcomes. Over the years, I’ve led end-to-end delivery of GenAI solutions, metric governance frameworks, and analytics platforms that have generated over $4 million in business value for my clients. Here’s a glimpse of what I’ve done: - Built a GenAI-powered HR analytics chatbot for a leading U.S. biopharmaceutical company. The solution enabled CXOs to query HR metrics through natural language, cutting dashboard dependency and setting the foundation for cross-domain conversational analytics across HR, Finance, and Supply Chain. Designed and delivered a pharmacy accessibility platform for a Fortune 10 pharma distributor, used by 2,000+ pharmacies to identify underserved regions and plan local expansions driving $3M+ in new business and improving healthcare access for millions of U.S. households. Created a disaster stockpile optimization system showcased at federal conferences, supporting state-level emergency planning across 14+ disaster scenarios. The platform is now referenced in multiple government preparedness discussions. Led a metric certification and data governance framework that standardized 60+ enterprise KPIs, reduced certification time by 50%, and corrected logic errors in multi-million-dollar reporting metrics. Built an NLP-based pipeline for off-label drug detection published in the Journal of the American Medical Informatics Association (JAMIA). This proof-of-concept generated $500K+ in additional NLP projects for the client and strengthened their pharmacovigilance capabilities. Beyond execution, I focus on diagnosing business process pitfalls that silently bleed efficiency and revenue. Whether it’s automating a reporting pipeline, integrating GenAI into operations, or re-architecting a workflow to reduce turnaround time I ensure every engagement has tangible ROI and long-term scalability. My technical expertise spans Python, SQL, PySpark, Databricks, LangChain, Azure, Power BI, Tableau, and Make blending data engineering, AI strategy, and workflow automation. If you’re looking for someone who can go beyond coding and truly translate analytics into business impact, I’d love to collaborate. Whether you need to automate insight generation, design AI-driven systems, or optimize your existing processes I can help you build faster, smarter, and leaner. Let’s connect and explore how we can turn your data and AI ideas into real-world results.