Practice Lead
HIF Analytics is a fractional business data science advisory based in Texas, dedicated exclusively to small and mid-sized CPG manufacturers. We help companies turn their data into a true source of profitability — cutting waste, improving margins, and driving sustainable growth.
CPG manufacturing is akin to a closed-loop system with feedback where upstream decisions create ripple effects across the value chain. A small improvement made to one function can translate to a large lift in EBITDA as a result of compounded cost savings, efficiency gains, and increased sales. Capturing such non-linear effects requires a scientific, ROI-driven mindset — one that HIF Analytics brings to every engagement.
With more than 100 advanced predictive, optimization, and prescriptive models deployed into production, and over $1B in total economic value created, HIF Analytics combines deep technical expertise with practical business insight.
Our founder and practice lead, Sanchin Raj, bridges both business and technology: a business leader and data scientist with a BS in Computer Science & Engineering and an MBA from the McCombs School of Business, UT Austin.
At HIF Analytics, we believe that the biggest challenge for small and mid-sized CPG manufacturers isn’t a lack of data — it’s the overwhelming complexity hidden within it. Every decision in the value chain creates ripple effects across sourcing, production, logistics, and sales. What looks like noise is often where profit is gained or lost.
Our focus is on turning this complexity into clarity. With a Decision Analytics-as-a-Service model, we translate data into clear, actionable insights that empower leaders to make smarter, faster, and more profitable decisions.
By applying advanced predictive, optimization, causal, and prescriptive analytics, we uncover the non-linear drivers of waste, margin erosion, and growth opportunities.
At HIF Analytics, we believe that the biggest challenge for small and mid-sized CPG manufacturers isn’t a lack of data — it’s the overwhelming complexity hidden within it. Every decision in the value chain creates ripple effects across sourcing, production, logistics, and sales. What looks like noise is often where profit is gained or lost.
Our focus is on turning this complexity into clarity. With a Decision Analytics-as-a-Service model, we translate data into clear, actionable insights that empower leaders to make smarter, faster, and more profitable decisions.
By applying advanced predictive, optimization, causal, and prescriptive analytics, we uncover the non-linear drivers of waste, margin erosion, and growth opportunities.
To empower small and mid-sized CPG manufacturers to turn their data into profits by reducing waste, improving margins, and accelerating growth through advanced business data science.
We envision a world where small and mid-sized CPG manufacturers compete and win by turning data into a sustainable advantage — achieving agility, resilience, and profitability at scale.