Mayank Pandey
CEO
Driving strategic growth and operational excellence. Ensures that technical innovation aligns perfectly with long-term business sustainability.
About Quantora Analytics
Quantora Analytics is an enterprise AI consulting company that bridges the gap between AI experimentation and production. Founded by Shashank Pandey, we help teams ship reliable AI systems, resilient pipelines, and intelligent applications that drive measurable business outcomes.
Quantora Analytics was founded by practitioners who spent years inside product, data, and engineering teams at high‑growth companies. We saw the same pattern repeat: promising prototypes that never made it to production, and dashboards that drifted away from the questions leaders actually cared about.
We created Quantora to do things differently—combining deep technical expertise with product thinking, change management, and a relentless focus on business outcomes.
Meet the Founder
AI Engineer & Founder, Quantora Analytics
Chandigarh / Mohali, India · 4+ years in AI/ML
Shashank Shekhar Pandey is an AI Engineer with 4+ years of experience building production AI systems across Machine Learning, Generative AI, Voice AI, RAG, and LLM infrastructure. He founded Quantora Analytics to bridge the gap between AI experimentation and real-world production deployment.
He is currently an AI Engineer at Bizetikk, Chandigarh, where he leads Voice AI platform development and hybrid RAG infrastructure. Previously held roles as AI/ML Developer at Eminence Technology (Mohali), Data Scientist at PAI Solutions (Delhi), and ML Engineer at ECPL (Ludhiana).
Known for delivering measurable results: 65% reduction in QA effort via automated call auditing, 60% GPU memory savings via quantized inference, 28% hallucination reduction via LoRA fine-tuning, and 40% latency improvement in LLM pipelines.
Leadership
CEO
Driving strategic growth and operational excellence. Ensures that technical innovation aligns perfectly with long-term business sustainability.
Co-founder & Technical Head
Leading the technical vision and engineering strategy. Expert in advanced machine learning algorithms and building scalable AI architectures.
Data Engineer & AI Expert
Building the backbone of intelligence. Master of scalable data pipelines, cloud infrastructure, and robust AI engineering workflows.
Principles
Every project anchors on a clear KPI—revenue, cost, risk, or experience—and we track it in dashboards alongside model metrics.
We aim for production‑grade first releases in 8–12 weeks, then iterate. Value compounds from there.
Enablement is non‑negotiable. We deliver playbooks, trainings, and pairing sessions so your team can own what we build.
Work with us
Whether you’re starting your first predictive analytics initiative or scaling MLOps across dozens of models, we’ll meet you where you are and move fast.